id sid tid token lemma pos cana-4155 1 1 communications communication NOUN cana-4155 1 2 on on ADP cana-4155 1 3 applied apply VERB cana-4155 1 4 nonlinear nonlinear ADJ cana-4155 1 5 analysis analysis NOUN cana-4155 1 6 issn issn NOUN cana-4155 1 7 : : PUNCT cana-4155 1 8 1074 1074 NUM cana-4155 1 9 - - PUNCT cana-4155 1 10 133x 133x NUM cana-4155 1 11 vol vol NOUN cana-4155 1 12 32 32 NUM cana-4155 1 13 no no NOUN cana-4155 1 14 . . PUNCT cana-4155 2 1 9s 9s NUM cana-4155 2 2 ( ( PUNCT cana-4155 2 3 2025 2025 NUM cana-4155 2 4 ) ) PUNCT cana-4155 2 5 1375 1375 NUM cana-4155 3 1 https://internationalpubls.com https://internationalpubls.com X cana-4155 3 2 brain brain NOUN cana-4155 3 3 tumor tumor NOUN cana-4155 3 4 detection detection NOUN cana-4155 3 5 using use VERB cana-4155 3 6 resnet-50 resnet-50 PROPN cana-4155 3 7 convolutional convolutional ADJ cana-4155 3 8 neural neural ADJ cana-4155 3 9 network network NOUN cana-4155 3 10 with with ADP cana-4155 3 11 softmax softmax NOUN cana-4155 3 12 activation activation NOUN cana-4155 3 13 function function VERB cana-4155 3 14 1p 1p PROPN cana-4155 3 15 saravanan saravanan PROPN cana-4155 3 16 , , PUNCT cana-4155 3 17 2dr 2dr ADJ cana-4155 3 18 . . PUNCT cana-4155 4 1 s s PART cana-4155 4 2 saravanakumar saravanakumar PROPN cana-4155 4 3 , , PUNCT cana-4155 4 4 1research 1research NUM cana-4155 4 5 scholar scholar NOUN cana-4155 4 6 , , PUNCT cana-4155 4 7 department department NOUN cana-4155 4 8 of of ADP cana-4155 4 9 computer computer NOUN cana-4155 4 10 science science NOUN cana-4155 4 11 engineering engineering NOUN cana-4155 4 12 , , PUNCT cana-4155 4 13 presidency presidency NOUN cana-4155 4 14 university university NOUN cana-4155 4 15 , , PUNCT cana-4155 4 16 bengaluru bengaluru PROPN cana-4155 4 17 , , PUNCT cana-4155 4 18 india india PROPN cana-4155 4 19 , , PUNCT cana-4155 4 20 mpsaravanan1982@gmail.com mpsaravanan1982@gmail.com PROPN cana-4155 4 21 , , PUNCT cana-4155 4 22 research research NOUN cana-4155 4 23 scholar scholar NOUN cana-4155 4 24 orcid orcid NOUN cana-4155 4 25 is be AUX cana-4155 4 26 : : PUNCT cana-4155 4 27 0009 0009 NUM cana-4155 4 28 - - SYM cana-4155 4 29 0008 0008 NUM cana-4155 4 30 - - PUNCT cana-4155 4 31 1549 1549 NUM cana-4155 4 32 - - SYM cana-4155 4 33 7968 7968 NUM cana-4155 4 34 2associate 2associate NUM cana-4155 4 35 professor professor NOUN cana-4155 4 36 , , PUNCT cana-4155 4 37 computer computer NOUN cana-4155 4 38 science science NOUN cana-4155 4 39 engineering engineering NOUN cana-4155 4 40 , , PUNCT cana-4155 4 41 presidency presidency NOUN cana-4155 4 42 university university PROPN cana-4155 4 43 , , PUNCT cana-4155 4 44 bengaluru bengaluru PROPN cana-4155 4 45 , , PUNCT cana-4155 4 46 india india PROPN cana-4155 4 47 , , PUNCT cana-4155 4 48 saravanakumar.s@presidencyuniversity.in saravanakumar.s@presidencyuniversity.in NOUN cana-4155 4 49 article article NOUN cana-4155 4 50 history history NOUN cana-4155 4 51 : : PUNCT cana-4155 4 52 received receive VERB cana-4155 4 53 : : PUNCT cana-4155 4 54 12 12 NUM cana-4155 4 55 - - SYM cana-4155 4 56 01 01 NUM cana-4155 4 57 - - PUNCT cana-4155 4 58 2025 2025 NUM cana-4155 4 59 revised revise VERB cana-4155 4 60 : : PUNCT cana-4155 4 61 15 15 NUM cana-4155 4 62 - - NUM cana-4155 4 63 02 02 NUM cana-4155 4 64 - - PUNCT cana-4155 4 65 2025 2025 NUM cana-4155 4 66 accepted accept VERB cana-4155 4 67 : : PUNCT cana-4155 4 68 01 01 NUM cana-4155 4 69 - - SYM cana-4155 4 70 03 03 NUM cana-4155 4 71 - - PUNCT cana-4155 4 72 2025 2025 NUM cana-4155 4 73 abstract abstract NOUN cana-4155 4 74 this this DET cana-4155 4 75 research research NOUN cana-4155 4 76 highlights highlight NOUN cana-4155 4 77 that that SCONJ cana-4155 4 78 great great ADJ cana-4155 4 79 efforts effort NOUN cana-4155 4 80 are be AUX cana-4155 4 81 being be AUX cana-4155 4 82 made make VERB cana-4155 4 83 to to PART cana-4155 4 84 improve improve VERB cana-4155 4 85 the the DET cana-4155 4 86 accuracy accuracy NOUN cana-4155 4 87 and and CCONJ cana-4155 4 88 validity validity NOUN cana-4155 4 89 of of ADP cana-4155 4 90 brain brain NOUN cana-4155 4 91 tumor tumor NOUN cana-4155 4 92 classification classification NOUN cana-4155 4 93 using use VERB cana-4155 4 94 mri mri NOUN cana-4155 4 95 images image NOUN cana-4155 4 96 . . PUNCT cana-4155 5 1 working work VERB cana-4155 5 2 at at ADP cana-4155 5 3 multiple multiple ADJ cana-4155 5 4 resolutions resolution NOUN cana-4155 5 5 helps help VERB cana-4155 5 6 to to PART cana-4155 5 7 preserve preserve VERB cana-4155 5 8 the the DET cana-4155 5 9 important important ADJ cana-4155 5 10 features feature NOUN cana-4155 5 11 of of ADP cana-4155 5 12 mri mri NOUN cana-4155 5 13 while while SCONJ cana-4155 5 14 reducing reduce VERB cana-4155 5 15 irrelevant irrelevant ADJ cana-4155 5 16 noise noise NOUN cana-4155 5 17 . . PUNCT cana-4155 6 1 below below ADV cana-4155 6 2 , , PUNCT cana-4155 6 3 we we PRON cana-4155 6 4 briefly briefly ADV cana-4155 6 5 discuss discuss VERB cana-4155 6 6 the the DET cana-4155 6 7 method method NOUN cana-4155 6 8 and and CCONJ cana-4155 6 9 its its PRON cana-4155 6 10 benefits benefit NOUN cana-4155 6 11 . . PUNCT cana-4155 7 1 in in ADP cana-4155 7 2 this this DET cana-4155 7 3 study study NOUN cana-4155 7 4 a a DET cana-4155 7 5 non non ADJ cana-4155 7 6 - - ADJ cana-4155 7 7 local local ADJ cana-4155 7 8 means mean NOUN cana-4155 7 9 pre pre ADJ cana-4155 7 10 - - ADJ cana-4155 7 11 processing processing ADJ cana-4155 7 12 technique technique NOUN cana-4155 7 13 combining combine VERB cana-4155 7 14 deep deep ADJ cana-4155 7 15 learning learning NOUN cana-4155 7 16 models model NOUN cana-4155 7 17 resnet50 resnet50 NOUN cana-4155 7 18 and and CCONJ cana-4155 7 19 residual residual ADJ cana-4155 7 20 connections connection NOUN cana-4155 7 21 with with ADP cana-4155 7 22 cnn cnn PROPN cana-4155 7 23 allows allow VERB cana-4155 7 24 for for ADP cana-4155 7 25 better well ADJ cana-4155 7 26 understanding understanding NOUN cana-4155 7 27 and and CCONJ cana-4155 7 28 classification classification NOUN cana-4155 7 29 of of ADP cana-4155 7 30 complex complex ADJ cana-4155 7 31 tumor tumor NOUN cana-4155 7 32 images image NOUN cana-4155 7 33 by by ADP cana-4155 7 34 utilizing utilize VERB cana-4155 7 35 hierarchical hierarchical ADJ cana-4155 7 36 and and CCONJ cana-4155 7 37 spatial spatial ADJ cana-4155 7 38 feature feature NOUN cana-4155 7 39 extraction extraction NOUN cana-4155 7 40 . . PUNCT cana-4155 8 1 the the DET cana-4155 8 2 pretraining pretraine VERB cana-4155 8 3 and and CCONJ cana-4155 8 4 fine fine ADV cana-4155 8 5 - - PUNCT cana-4155 8 6 tuning tuning NOUN cana-4155 8 7 stages stage NOUN cana-4155 8 8 allow allow VERB cana-4155 8 9 for for ADP cana-4155 8 10 better well ADJ cana-4155 8 11 generalization generalization NOUN cana-4155 8 12 to to ADP cana-4155 8 13 new new ADJ cana-4155 8 14 unseen unseen ADJ cana-4155 8 15 material material NOUN cana-4155 8 16 . . PUNCT cana-4155 9 1 fuzzy fuzzy ADJ cana-4155 9 2 clustering clustering ADJ cana-4155 9 3 segmentation segmentation NOUN cana-4155 9 4 method method NOUN cana-4155 9 5 what what PRON cana-4155 9 6 is be AUX cana-4155 9 7 interesting interesting ADJ cana-4155 9 8 about about ADP cana-4155 9 9 this this DET cana-4155 9 10 method method NOUN cana-4155 9 11 is be AUX cana-4155 9 12 that that SCONJ cana-4155 9 13 it it PRON cana-4155 9 14 combines combine VERB cana-4155 9 15 deep deep ADJ cana-4155 9 16 learning learning NOUN cana-4155 9 17 methods method NOUN cana-4155 9 18 ( ( PUNCT cana-4155 9 19 cnn cnn NOUN cana-4155 9 20 and and CCONJ cana-4155 9 21 resnet50 resnet50 NOUN cana-4155 9 22 ) ) PUNCT cana-4155 9 23 with with ADP cana-4155 9 24 a a DET cana-4155 9 25 classical classical ADJ cana-4155 9 26 image image NOUN cana-4155 9 27 processing processing NOUN cana-4155 9 28 method method NOUN cana-4155 9 29 , , PUNCT cana-4155 9 30 non non ADJ cana-4155 9 31 - - ADJ cana-4155 9 32 local local ADJ cana-4155 9 33 means mean NOUN cana-4155 9 34 ( ( PUNCT cana-4155 9 35 nlm nlm NOUN cana-4155 9 36 ) ) PUNCT cana-4155 9 37 . . PUNCT cana-4155 10 1 diagnosing diagnose VERB cana-4155 10 2 brain brain NOUN cana-4155 10 3 tumor tumor NOUN cana-4155 10 4 and and CCONJ cana-4155 10 5 differentiating differentiate VERB cana-4155 10 6 between between ADP cana-4155 10 7 tumor tumor NOUN cana-4155 10 8 types type NOUN cana-4155 10 9 . . PUNCT cana-4155 11 1 fuzzy fuzzy ADJ cana-4155 11 2 clustering clustering ADJ cana-4155 11 3 segmentation segmentation NOUN cana-4155 11 4 method method NOUN cana-4155 11 5 is be AUX cana-4155 11 6 an an DET cana-4155 11 7 effective effective ADJ cana-4155 11 8 imaging imaging NOUN cana-4155 11 9 technique technique NOUN cana-4155 11 10 for for ADP cana-4155 11 11 delineating delineate VERB cana-4155 11 12 tumor tumor NOUN cana-4155 11 13 boundaries boundary NOUN cana-4155 11 14 . . PUNCT cana-4155 12 1 this this DET cana-4155 12 2 hybrid hybrid ADJ cana-4155 12 3 approach approach NOUN cana-4155 12 4 leverages leverage VERB cana-4155 12 5 the the DET cana-4155 12 6 best good ADJ cana-4155 12 7 of of ADP cana-4155 12 8 both both DET cana-4155 12 9 worlds world NOUN cana-4155 12 10 to to PART cana-4155 12 11 improve improve VERB cana-4155 12 12 tumor tumor NOUN cana-4155 12 13 detection detection NOUN cana-4155 12 14 and and CCONJ cana-4155 12 15 classification classification NOUN cana-4155 12 16 , , PUNCT cana-4155 12 17 aiding aid VERB cana-4155 12 18 in in ADP cana-4155 12 19 early early ADJ cana-4155 12 20 diagnosis diagnosis NOUN cana-4155 12 21 and and CCONJ cana-4155 12 22 treatment treatment NOUN cana-4155 12 23 planning planning NOUN cana-4155 12 24 . . PUNCT cana-4155 13 1 this this PRON cana-4155 13 2 is be AUX cana-4155 13 3 key key ADJ cana-4155 13 4 to to ADP cana-4155 13 5 identifying identify VERB cana-4155 13 6 the the DET cana-4155 13 7 region region NOUN cana-4155 13 8 of of ADP cana-4155 13 9 interest interest NOUN cana-4155 13 10 ( ( PUNCT cana-4155 13 11 tumor tumor NOUN cana-4155 13 12 ) ) PUNCT cana-4155 13 13 , , PUNCT cana-4155 13 14 which which PRON cana-4155 13 15 is be AUX cana-4155 13 16 often often ADV cana-4155 13 17 challenging challenge VERB cana-4155 13 18 in in ADP cana-4155 13 19 medical medical ADJ cana-4155 13 20 image image NOUN cana-4155 13 21 processing processing NOUN cana-4155 13 22 due due ADP cana-4155 13 23 to to ADP cana-4155 13 24 the the DET cana-4155 13 25 different different ADJ cana-4155 13 26 shapes shape NOUN cana-4155 13 27 , , PUNCT cana-4155 13 28 sizes size NOUN cana-4155 13 29 , , PUNCT cana-4155 13 30 and and CCONJ cana-4155 13 31 appearances appearance NOUN cana-4155 13 32 of of ADP cana-4155 13 33 tumor tumor NOUN cana-4155 13 34 . . PUNCT cana-4155 14 1 resnet50 resnet50 PROPN cana-4155 14 2 - - PUNCT cana-4155 14 3 cnn cnn PROPN cana-4155 14 4 classification classification NOUN cana-4155 14 5 this this DET cana-4155 14 6 work work NOUN cana-4155 14 7 aims aim VERB cana-4155 14 8 to to PART cana-4155 14 9 address address VERB cana-4155 14 10 the the DET cana-4155 14 11 challenges challenge NOUN cana-4155 14 12 in in ADP cana-4155 14 13 brain brain NOUN cana-4155 14 14 tumor tumor NOUN cana-4155 14 15 detection detection NOUN cana-4155 14 16 and and CCONJ cana-4155 14 17 classification classification NOUN cana-4155 14 18 using use VERB cana-4155 14 19 advanced advanced ADJ cana-4155 14 20 techniques technique NOUN cana-4155 14 21 such such ADJ cana-4155 14 22 as as ADP cana-4155 14 23 non non ADJ cana-4155 14 24 - - ADJ cana-4155 14 25 local local ADJ cana-4155 14 26 means mean VERB cana-4155 14 27 pre pre ADJ cana-4155 14 28 - - ADJ cana-4155 14 29 processing processing ADJ cana-4155 14 30 , , PUNCT cana-4155 14 31 fuzzy fuzzy ADJ cana-4155 14 32 clustering clustering ADJ cana-4155 14 33 segmentation segmentation NOUN cana-4155 14 34 method method NOUN cana-4155 14 35 , , PUNCT cana-4155 14 36 and and CCONJ cana-4155 14 37 resnet50 resnet50 VERB cana-4155 14 38 convolutional convolutional ADJ cana-4155 14 39 neural neural ADJ cana-4155 14 40 network network NOUN cana-4155 14 41 ( ( PUNCT cana-4155 14 42 cnn cnn PROPN cana-4155 14 43 ) ) PUNCT cana-4155 14 44 classification classification NOUN cana-4155 14 45 . . PUNCT cana-4155 15 1 the the DET cana-4155 15 2 reported report VERB cana-4155 15 3 results result NOUN cana-4155 15 4 show show VERB cana-4155 15 5 that that SCONJ cana-4155 15 6 the the DET cana-4155 15 7 proposed propose VERB cana-4155 15 8 method method NOUN cana-4155 15 9 outperforms outperform VERB cana-4155 15 10 stateof stateof ADJ cana-4155 15 11 - - PUNCT cana-4155 15 12 the the DET cana-4155 15 13 - - PUNCT cana-4155 15 14 art art NOUN cana-4155 15 15 methods method NOUN cana-4155 15 16 in in ADP cana-4155 15 17 various various ADJ cana-4155 15 18 performance performance NOUN cana-4155 15 19 metrics metric NOUN cana-4155 15 20 such such ADJ cana-4155 15 21 as as ADP cana-4155 15 22 accuracy accuracy NOUN cana-4155 15 23 , , PUNCT cana-4155 15 24 sensitivity sensitivity NOUN cana-4155 15 25 , , PUNCT cana-4155 15 26 f1 f1 NOUN cana-4155 15 27 score score NOUN cana-4155 15 28 , , PUNCT cana-4155 15 29 specificity specificity NOUN cana-4155 15 30 , , PUNCT cana-4155 15 31 and and CCONJ cana-4155 15 32 error error NOUN cana-4155 15 33 rate rate NOUN cana-4155 15 34 , , PUNCT cana-4155 15 35 indicating indicate VERB cana-4155 15 36 that that SCONJ cana-4155 15 37 the the DET cana-4155 15 38 proposed propose VERB cana-4155 15 39 method method NOUN cana-4155 15 40 is be AUX cana-4155 15 41 highly highly ADV cana-4155 15 42 effective effective ADJ cana-4155 15 43 in in ADP cana-4155 15 44 terms term NOUN cana-4155 15 45 of of ADP cana-4155 15 46 accuracy accuracy NOUN cana-4155 15 47 . . PUNCT cana-4155 16 1 keywords keyword NOUN cana-4155 16 2 : : PUNCT cana-4155 16 3 deep deep ADJ cana-4155 16 4 learning learning NOUN cana-4155 16 5 , , PUNCT cana-4155 16 6 nlm nlm PROPN cana-4155 16 7 , , PUNCT cana-4155 16 8 fcs fcs PROPN cana-4155 16 9 , , PUNCT cana-4155 16 10 ofwn2 ofwn2 PROPN cana-4155 16 11 , , PUNCT cana-4155 16 12 resnet-50 resnet-50 PROPN cana-4155 16 13 cnn cnn PROPN cana-4155 16 14 , , PUNCT cana-4155 16 15 softmax softmax NOUN cana-4155 16 16 activation activation NOUN cana-4155 16 17 function function VERB cana-4155 16 18 magnetic magnetic ADJ cana-4155 16 19 resonance resonance NOUN cana-4155 16 20 imaging imaging NOUN cana-4155 16 21 ( ( PUNCT cana-4155 16 22 mri mri NOUN cana-4155 16 23 ) ) PUNCT cana-4155 16 24 , , PUNCT cana-4155 16 25 preprocessing preprocessing NOUN cana-4155 16 26 , , PUNCT cana-4155 16 27 segmentation segmentation NOUN cana-4155 16 28 , , PUNCT cana-4155 16 29 features feature VERB cana-4155 16 30 extraction extraction NOUN cana-4155 16 31 , , PUNCT cana-4155 16 32 classification classification NOUN cana-4155 16 33 . . PUNCT cana-4155 17 1 1 1 X cana-4155 17 2 . . X cana-4155 17 3 introduction introduction NOUN cana-4155 17 4 the the DET cana-4155 17 5 brain brain NOUN cana-4155 17 6 is be AUX cana-4155 17 7 the the DET cana-4155 17 8 most most ADV cana-4155 17 9 important important ADJ cana-4155 17 10 organ organ NOUN cana-4155 17 11 in in ADP cana-4155 17 12 the the DET cana-4155 17 13 human human ADJ cana-4155 17 14 body body NOUN cana-4155 17 15 because because SCONJ cana-4155 17 16 it it PRON cana-4155 17 17 supports support VERB cana-4155 17 18 decision decision NOUN cana-4155 17 19 - - PUNCT cana-4155 17 20 making making NOUN cana-4155 17 21 and and CCONJ cana-4155 17 22 regulates regulate VERB cana-4155 17 23 the the DET cana-4155 17 24 actions action NOUN cana-4155 17 25 of of ADP cana-4155 17 26 other other ADJ cana-4155 17 27 organs organ NOUN cana-4155 17 28 . . PUNCT cana-4155 18 1 it it PRON cana-4155 18 2 primarily primarily ADV cana-4155 18 3 serves serve VERB cana-4155 18 4 as as ADP cana-4155 18 5 the the DET cana-4155 18 6 primary primary ADJ cana-4155 18 7 nervous nervous ADJ cana-4155 18 8 system system NOUN cana-4155 18 9 's 's PART cana-4155 18 10 control control NOUN cana-4155 18 11 center center PROPN cana-4155 18 12 mailto:mpsaravanan1982@gmail.com#inbox/_blank mailto:mpsaravanan1982@gmail.com#inbox/_blank PROPN cana-4155 18 13 mailto:saravanakumar.s@presidencyuniversity.in#inbox/_blank mailto:saravanakumar.s@presidencyuniversity.in#inbox/_blank PROPN cana-4155 18 14 communications communication NOUN cana-4155 18 15 on on ADP cana-4155 18 16 applied apply VERB cana-4155 18 17 nonlinear nonlinear ADJ cana-4155 18 18 analysis analysis NOUN cana-4155 18 19 issn issn NOUN cana-4155 18 20 : : PUNCT cana-4155 18 21 1074 1074 NUM cana-4155 18 22 - - PUNCT cana-4155 18 23 133x 133x NUM cana-4155 18 24 vol vol NOUN cana-4155 18 25 32 32 NUM cana-4155 18 26 no no NOUN cana-4155 18 27 . . PUNCT cana-4155 19 1 9s 9s NUM cana-4155 19 2 ( ( PUNCT cana-4155 19 3 2025 2025 NUM cana-4155 19 4 ) ) PUNCT cana-4155 19 5 1376 1376 NUM cana-4155 19 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 19 7 and and CCONJ cana-4155 19 8 is be AUX cana-4155 19 9 in in ADP cana-4155 19 10 charge charge NOUN cana-4155 19 11 of of ADP cana-4155 19 12 both both CCONJ cana-4155 19 13 the the DET cana-4155 19 14 daily daily ADJ cana-4155 19 15 voluntary voluntary ADJ cana-4155 19 16 and and CCONJ cana-4155 19 17 involuntary involuntary ADJ cana-4155 19 18 movements movement NOUN cana-4155 19 19 of of ADP cana-4155 19 20 the the DET cana-4155 19 21 human human ADJ cana-4155 19 22 body body NOUN cana-4155 19 23 . . PUNCT cana-4155 20 1 globally globally ADV cana-4155 20 2 , , PUNCT cana-4155 20 3 brain brain NOUN cana-4155 20 4 tumors tumor NOUN cana-4155 20 5 are be AUX cana-4155 20 6 the the DET cana-4155 20 7 leading lead VERB cana-4155 20 8 cause cause NOUN cana-4155 20 9 of of ADP cana-4155 20 10 death death NOUN cana-4155 20 11 . . PUNCT cana-4155 21 1 unwanted unwanted ADJ cana-4155 21 2 tissue tissue NOUN cana-4155 21 3 growth growth NOUN cana-4155 21 4 in in ADP cana-4155 21 5 the the DET cana-4155 21 6 brain brain NOUN cana-4155 21 7 causes cause VERB cana-4155 21 8 it it PRON cana-4155 21 9 to to PART cana-4155 21 10 impact impact VERB cana-4155 21 11 countless countless ADJ cana-4155 21 12 individuals individual NOUN cana-4155 21 13 . . PUNCT cana-4155 22 1 brain brain NOUN cana-4155 22 2 damage damage NOUN cana-4155 22 3 results result NOUN cana-4155 22 4 from from ADP cana-4155 22 5 brain brain NOUN cana-4155 22 6 tumor tumor NOUN cana-4155 22 7 cells cell NOUN cana-4155 22 8 ' ' PART cana-4155 22 9 eventual eventual ADJ cana-4155 22 10 absorption absorption NOUN cana-4155 22 11 of of ADP cana-4155 22 12 all all DET cana-4155 22 13 the the DET cana-4155 22 14 nutrients nutrient NOUN cana-4155 22 15 required require VERB cana-4155 22 16 by by ADP cana-4155 22 17 healthy healthy ADJ cana-4155 22 18 cells cell NOUN cana-4155 22 19 and and CCONJ cana-4155 22 20 tissues tissue NOUN cana-4155 22 21 as as SCONJ cana-4155 22 22 they they PRON cana-4155 22 23 proliferate proliferate VERB cana-4155 22 24 . . PUNCT cana-4155 23 1 the the DET cana-4155 23 2 brain brain NOUN cana-4155 23 3 is be AUX cana-4155 23 4 an an DET cana-4155 23 5 important important ADJ cana-4155 23 6 organ organ NOUN cana-4155 23 7 in in ADP cana-4155 23 8 charge charge NOUN cana-4155 23 9 of of ADP cana-4155 23 10 the the DET cana-4155 23 11 central central ADJ cana-4155 23 12 nervous nervous ADJ cana-4155 23 13 system system NOUN cana-4155 23 14 . . PUNCT cana-4155 24 1 the the DET cana-4155 24 2 human human ADJ cana-4155 24 3 brain brain NOUN cana-4155 24 4 supplies supply VERB cana-4155 24 5 the the DET cana-4155 24 6 central central ADJ cana-4155 24 7 nervous nervous ADJ cana-4155 24 8 system system NOUN cana-4155 24 9 via via ADP cana-4155 24 10 connections connection NOUN cana-4155 24 11 to to ADP cana-4155 24 12 the the DET cana-4155 24 13 bone bone NOUN cana-4155 24 14 marrow marrow NOUN cana-4155 24 15 . . PUNCT cana-4155 25 1 also also ADV cana-4155 25 2 controlling control VERB cana-4155 25 3 human human ADJ cana-4155 25 4 body body NOUN cana-4155 25 5 functions function NOUN cana-4155 25 6 is be AUX cana-4155 25 7 the the DET cana-4155 25 8 brain brain NOUN cana-4155 25 9 . . PUNCT cana-4155 26 1 it it PRON cana-4155 26 2 receives receive VERB cana-4155 26 3 information information NOUN cana-4155 26 4 from from ADP cana-4155 26 5 other other ADJ cana-4155 26 6 senses sense NOUN cana-4155 26 7 , , PUNCT cana-4155 26 8 makes make VERB cana-4155 26 9 decisions decision NOUN cana-4155 26 10 and and CCONJ cana-4155 26 11 issues issue NOUN cana-4155 26 12 commands command NOUN cana-4155 26 13 to to ADP cana-4155 26 14 the the DET cana-4155 26 15 body body NOUN cana-4155 26 16 . . PUNCT cana-4155 27 1 the the DET cana-4155 27 2 brain brain NOUN cana-4155 27 3 is be AUX cana-4155 27 4 the the DET cana-4155 27 5 central central ADJ cana-4155 27 6 part part NOUN cana-4155 27 7 of of ADP cana-4155 27 8 the the DET cana-4155 27 9 human human ADJ cana-4155 27 10 body body NOUN cana-4155 27 11 's 's PART cana-4155 27 12 management management NOUN cana-4155 27 13 department department NOUN cana-4155 27 14 , , PUNCT cana-4155 27 15 controlling control VERB cana-4155 27 16 all all DET cana-4155 27 17 functions function NOUN cana-4155 27 18 of of ADP cana-4155 27 19 the the DET cana-4155 27 20 human human ADJ cana-4155 27 21 body body NOUN cana-4155 27 22 with with ADP cana-4155 27 23 the the DET cana-4155 27 24 help help NOUN cana-4155 27 25 of of ADP cana-4155 27 26 nerve nerve NOUN cana-4155 27 27 cells cell NOUN cana-4155 27 28 . . PUNCT cana-4155 28 1 malignant malignant ADJ cana-4155 28 2 and and CCONJ cana-4155 28 3 benign benign ADJ cana-4155 28 4 brain brain NOUN cana-4155 28 5 tumors tumor NOUN cana-4155 28 6 are be AUX cana-4155 28 7 by by ADP cana-4155 28 8 far far ADV cana-4155 28 9 the the DET cana-4155 28 10 most most ADV cana-4155 28 11 common common ADJ cana-4155 28 12 types type NOUN cana-4155 28 13 of of ADP cana-4155 28 14 brain brain NOUN cana-4155 28 15 tumors tumor NOUN cana-4155 28 16 . . PUNCT cana-4155 29 1 brain brain NOUN cana-4155 29 2 tumors tumor NOUN cana-4155 29 3 are be AUX cana-4155 29 4 considered consider VERB cana-4155 29 5 the the DET cana-4155 29 6 most most ADV cana-4155 29 7 dangerous dangerous ADJ cana-4155 29 8 cancer cancer NOUN cana-4155 29 9 in in ADP cana-4155 29 10 both both DET cana-4155 29 11 adults adult NOUN cana-4155 29 12 and and CCONJ cana-4155 29 13 children child NOUN cana-4155 29 14 . . PUNCT cana-4155 30 1 brain brain NOUN cana-4155 30 2 tumors tumor NOUN cana-4155 30 3 occur occur VERB cana-4155 30 4 when when SCONJ cana-4155 30 5 brain brain NOUN cana-4155 30 6 tissue tissue NOUN cana-4155 30 7 develops develop VERB cana-4155 30 8 in in ADP cana-4155 30 9 an an DET cana-4155 30 10 abnormal abnormal ADJ cana-4155 30 11 manner manner NOUN cana-4155 30 12 . . PUNCT cana-4155 31 1 abnormal abnormal ADJ cana-4155 31 2 tissue tissue NOUN cana-4155 31 3 overgrows overgrow NOUN cana-4155 31 4 compared compare VERB cana-4155 31 5 to to ADP cana-4155 31 6 normal normal ADJ cana-4155 31 7 cells cell NOUN cana-4155 31 8 , , PUNCT cana-4155 31 9 causing cause VERB cana-4155 31 10 the the DET cana-4155 31 11 cells cell NOUN cana-4155 31 12 to to PART cana-4155 31 13 form form VERB cana-4155 31 14 in in ADP cana-4155 31 15 large large ADJ cana-4155 31 16 numbers number NOUN cana-4155 31 17 and and CCONJ cana-4155 31 18 eventually eventually ADV cana-4155 31 19 become become VERB cana-4155 31 20 tumors tumor NOUN cana-4155 31 21 . . PUNCT cana-4155 32 1 benign benign ADJ cana-4155 32 2 tumors tumor NOUN cana-4155 32 3 are be AUX cana-4155 32 4 tumors tumor NOUN cana-4155 32 5 with with ADP cana-4155 32 6 minimal minimal ADJ cana-4155 32 7 damage damage NOUN cana-4155 32 8 and and CCONJ cana-4155 32 9 no no DET cana-4155 32 10 tumor tumor NOUN cana-4155 32 11 cells cell NOUN cana-4155 32 12 . . PUNCT cana-4155 33 1 malignant malignant ADJ cana-4155 33 2 tumors tumor NOUN cana-4155 33 3 are be AUX cana-4155 33 4 the the DET cana-4155 33 5 most most ADV cana-4155 33 6 dangerous dangerous ADJ cana-4155 33 7 and and CCONJ cana-4155 33 8 intentionally intentionally ADV cana-4155 33 9 lethal lethal ADJ cana-4155 33 10 tumor tumor NOUN cana-4155 33 11 cells cell NOUN cana-4155 33 12 . . PUNCT cana-4155 34 1 malignant malignant ADJ cana-4155 34 2 tumors tumor NOUN cana-4155 34 3 can can AUX cana-4155 34 4 affect affect VERB cana-4155 34 5 the the DET cana-4155 34 6 whole whole ADJ cana-4155 34 7 brain brain NOUN cana-4155 34 8 . . PUNCT cana-4155 35 1 the the DET cana-4155 35 2 most most ADV cana-4155 35 3 well well ADV cana-4155 35 4 - - PUNCT cana-4155 35 5 known know VERB cana-4155 35 6 essential essential ADJ cana-4155 35 7 cancers cancer NOUN cana-4155 35 8 in in ADP cana-4155 35 9 grown grown NOUN cana-4155 35 10 - - PUNCT cana-4155 35 11 ups up NOUN cana-4155 35 12 incorporate incorporate VERB cana-4155 35 13 gliomas glioma NOUN cana-4155 35 14 , , PUNCT cana-4155 35 15 meningiomas meningioma NOUN cana-4155 35 16 , , PUNCT cana-4155 35 17 and and CCONJ cana-4155 35 18 pituitary pituitary ADJ cana-4155 35 19 organ organ NOUN cana-4155 35 20 growths growth NOUN cana-4155 35 21 . . PUNCT cana-4155 36 1 gliomas glioma NOUN cana-4155 36 2 emerge emerge VERB cana-4155 36 3 from from ADP cana-4155 36 4 glial glial ADJ cana-4155 36 5 cells cell NOUN cana-4155 36 6 in in ADP cana-4155 36 7 the the DET cana-4155 36 8 cerebrum cerebrum PROPN cana-4155 36 9 's 's PART cana-4155 36 10 supporting support VERB cana-4155 36 11 tissues tissue NOUN cana-4155 36 12 . . PUNCT cana-4155 37 1 meningiomas meningioma NOUN cana-4155 37 2 are be AUX cana-4155 37 3 generally generally ADV cana-4155 37 4 sluggish sluggish ADJ cana-4155 37 5 developing develop VERB cana-4155 37 6 , , PUNCT cana-4155 37 7 harmless harmless ADJ cana-4155 37 8 cancers cancer NOUN cana-4155 37 9 that that PRON cana-4155 37 10 start start VERB cana-4155 37 11 in in ADP cana-4155 37 12 the the DET cana-4155 37 13 external external ADJ cana-4155 37 14 packaging packaging NOUN cana-4155 37 15 of of ADP cana-4155 37 16 the the DET cana-4155 37 17 mind mind NOUN cana-4155 37 18 just just ADV cana-4155 37 19 underneath underneath ADP cana-4155 37 20 the the DET cana-4155 37 21 skull skull NOUN cana-4155 37 22 . . PUNCT cana-4155 38 1 meningiomas meningioma NOUN cana-4155 38 2 ordinarily ordinarily ADV cana-4155 38 3 happen happen VERB cana-4155 38 4 in in ADP cana-4155 38 5 one one NUM cana-4155 38 6 half half NOUN cana-4155 38 7 of of ADP cana-4155 38 8 the the DET cana-4155 38 9 globe globe NOUN cana-4155 38 10 of of ADP cana-4155 38 11 the the DET cana-4155 38 12 mind mind NOUN cana-4155 38 13 and and CCONJ cana-4155 38 14 can can AUX cana-4155 38 15 require require VERB cana-4155 38 16 quite quite DET cana-4155 38 17 a a DET cana-4155 38 18 long long ADJ cana-4155 38 19 while while NOUN cana-4155 38 20 to to PART cana-4155 38 21 analyze analyze VERB cana-4155 38 22 . . PUNCT cana-4155 39 1 the the DET cana-4155 39 2 pituitary pituitary ADJ cana-4155 39 3 organ organ NOUN cana-4155 39 4 is be AUX cana-4155 39 5 at at ADP cana-4155 39 6 the the DET cana-4155 39 7 foundation foundation NOUN cana-4155 39 8 of of ADP cana-4155 39 9 the the DET cana-4155 39 10 mind mind NOUN cana-4155 39 11 . . PUNCT cana-4155 40 1 its its PRON cana-4155 40 2 essential essential ADJ cana-4155 40 3 capability capability NOUN cana-4155 40 4 is be AUX cana-4155 40 5 to to PART cana-4155 40 6 create create VERB cana-4155 40 7 chemicals chemical NOUN cana-4155 40 8 that that PRON cana-4155 40 9 manage manage VERB cana-4155 40 10 different different ADJ cana-4155 40 11 organs organ NOUN cana-4155 40 12 in in ADP cana-4155 40 13 the the DET cana-4155 40 14 body body NOUN cana-4155 40 15 , , PUNCT cana-4155 40 16 like like SCONJ cana-4155 40 17 the the DET cana-4155 40 18 thyroid thyroid NOUN cana-4155 40 19 organ organ NOUN cana-4155 40 20 . . PUNCT cana-4155 41 1 as as ADP cana-4155 41 2 of of ADP cana-4155 41 3 now now ADV cana-4155 41 4 , , PUNCT cana-4155 41 5 the the DET cana-4155 41 6 imaging imaging NOUN cana-4155 41 7 strategy strategy NOUN cana-4155 41 8 is be AUX cana-4155 41 9 turning turn VERB cana-4155 41 10 out out ADP cana-4155 41 11 to to PART cana-4155 41 12 be be AUX cana-4155 41 13 progressively progressively ADV cana-4155 41 14 well well ADV cana-4155 41 15 known know VERB cana-4155 41 16 among among ADP cana-4155 41 17 radiologists radiologist NOUN cana-4155 41 18 since since SCONJ cana-4155 41 19 it it PRON cana-4155 41 20 is be AUX cana-4155 41 21 extra extra ADJ cana-4155 41 22 exact exact ADJ cana-4155 41 23 and and CCONJ cana-4155 41 24 presents present VERB cana-4155 41 25 less less ADJ cana-4155 41 26 risk risk NOUN cana-4155 41 27 to to ADP cana-4155 41 28 patients patient NOUN cana-4155 41 29 . . PUNCT cana-4155 42 1 there there PRON cana-4155 42 2 are be VERB cana-4155 42 3 numerous numerous ADJ cana-4155 42 4 philosophies philosophy NOUN cana-4155 42 5 of of ADP cana-4155 42 6 getting get VERB cana-4155 42 7 clinical clinical ADJ cana-4155 42 8 picture picture NOUN cana-4155 42 9 information information NOUN cana-4155 42 10 including include VERB cana-4155 42 11 radiography radiography NOUN cana-4155 42 12 , , PUNCT cana-4155 42 13 x x NOUN cana-4155 42 14 - - PUNCT cana-4155 42 15 ray ray NOUN cana-4155 42 16 , , PUNCT cana-4155 42 17 tomography tomography NOUN cana-4155 42 18 and and CCONJ cana-4155 42 19 echocardiography echocardiography NOUN cana-4155 42 20 . . PUNCT cana-4155 43 1 in in ADP cana-4155 43 2 the the DET cana-4155 43 3 middle middle NOUN cana-4155 43 4 between between ADP cana-4155 43 5 them they PRON cana-4155 43 6 , , PUNCT cana-4155 43 7 x x X cana-4155 43 8 - - NOUN cana-4155 43 9 ray ray NOUN cana-4155 43 10 has have AUX cana-4155 43 11 drawn draw VERB cana-4155 43 12 in in ADP cana-4155 43 13 a a DET cana-4155 43 14 ton ton NOUN cana-4155 43 15 of of ADP cana-4155 43 16 consideration consideration NOUN cana-4155 43 17 since since SCONJ cana-4155 43 18 it it PRON cana-4155 43 19 can can AUX cana-4155 43 20 get get VERB cana-4155 43 21 high high ADJ cana-4155 43 22 - - PUNCT cana-4155 43 23 goal goal NOUN cana-4155 43 24 pictures picture NOUN cana-4155 43 25 denied deny VERB cana-4155 43 26 of of ADP cana-4155 43 27 utilizing utilize VERB cana-4155 43 28 fairly fairly ADV cana-4155 43 29 radiation radiation NOUN cana-4155 43 30 . . PUNCT cana-4155 44 1 the the DET cana-4155 44 2 x x NOUN cana-4155 44 3 - - NOUN cana-4155 44 4 ray ray NOUN cana-4155 44 5 is be AUX cana-4155 44 6 a a DET cana-4155 44 7 harmless harmless ADJ cana-4155 44 8 test test NOUN cana-4155 44 9 that that PRON cana-4155 44 10 bears bear VERB cana-4155 44 11 the the DET cana-4155 44 12 cost cost NOUN cana-4155 44 13 of of ADP cana-4155 44 14 radiologists radiologist NOUN cana-4155 44 15 through through ADP cana-4155 44 16 useful useful ADJ cana-4155 44 17 data datum NOUN cana-4155 44 18 on on ADP cana-4155 44 19 clinical clinical ADJ cana-4155 44 20 imaging imaging NOUN cana-4155 44 21 information information NOUN cana-4155 44 22 to to PART cana-4155 44 23 analyze analyze VERB cana-4155 44 24 cerebrum cerebrum NOUN cana-4155 44 25 irregularities irregularity NOUN cana-4155 44 26 . . PUNCT cana-4155 45 1 pc pc NOUN cana-4155 45 2 helped help VERB cana-4155 45 3 finding find VERB cana-4155 45 4 ( ( PUNCT cana-4155 45 5 computer computer NOUN cana-4155 45 6 aided aid VERB cana-4155 45 7 design design NOUN cana-4155 45 8 ) ) PUNCT cana-4155 45 9 techniques technique NOUN cana-4155 45 10 , , PUNCT cana-4155 45 11 then then ADV cana-4155 45 12 again again ADV cana-4155 45 13 , , PUNCT cana-4155 45 14 intend intend VERB cana-4155 45 15 to to PART cana-4155 45 16 identify identify VERB cana-4155 45 17 mind mind NOUN cana-4155 45 18 growths growth NOUN cana-4155 45 19 ahead ahead ADV cana-4155 45 20 of of ADP cana-4155 45 21 schedule schedule NOUN cana-4155 45 22 without without ADP cana-4155 45 23 human human ADJ cana-4155 45 24 intercession intercession NOUN cana-4155 45 25 . . PUNCT cana-4155 46 1 computer computer NOUN cana-4155 46 2 aided aid VERB cana-4155 46 3 design design NOUN cana-4155 46 4 models model NOUN cana-4155 46 5 can can AUX cana-4155 46 6 make make VERB cana-4155 46 7 indicative indicative ADJ cana-4155 46 8 annals annal NOUN cana-4155 46 9 based base VERB cana-4155 46 10 on on ADP cana-4155 46 11 x x ADJ cana-4155 46 12 - - NOUN cana-4155 46 13 ray ray NOUN cana-4155 46 14 pictures picture NOUN cana-4155 46 15 and and CCONJ cana-4155 46 16 give give VERB cana-4155 46 17 authority authority NOUN cana-4155 46 18 to to ADP cana-4155 46 19 radiologists radiologist NOUN cana-4155 46 20 . . PUNCT cana-4155 47 1 there there PRON cana-4155 47 2 are be VERB cana-4155 47 3 a a DET cana-4155 47 4 few few ADJ cana-4155 47 5 classes class NOUN cana-4155 47 6 of of ADP cana-4155 47 7 cancers cancer NOUN cana-4155 47 8 , , PUNCT cana-4155 47 9 including include VERB cana-4155 47 10 gliomas glioma NOUN cana-4155 47 11 , , PUNCT cana-4155 47 12 meningiomas meningioma NOUN cana-4155 47 13 and and CCONJ cana-4155 47 14 pituitary pituitary ADJ cana-4155 47 15 growths growth NOUN cana-4155 47 16 , , PUNCT cana-4155 47 17 however however ADV cana-4155 47 18 no no DET cana-4155 47 19 growths growth NOUN cana-4155 47 20 . . PUNCT cana-4155 48 1 specialists specialist NOUN cana-4155 48 2 and and CCONJ cana-4155 48 3 radiologists radiologist NOUN cana-4155 48 4 invest invest VERB cana-4155 48 5 a a DET cana-4155 48 6 ton ton NOUN cana-4155 48 7 of of ADP cana-4155 48 8 energy energy NOUN cana-4155 48 9 breaking break VERB cana-4155 48 10 down down ADP cana-4155 48 11 test test NOUN cana-4155 48 12 results result NOUN cana-4155 48 13 and and CCONJ cana-4155 48 14 sweeps sweep NOUN cana-4155 48 15 , , PUNCT cana-4155 48 16 which which PRON cana-4155 48 17 can can AUX cana-4155 48 18 incredibly incredibly ADV cana-4155 48 19 time time NOUN cana-4155 48 20 - - PUNCT cana-4155 48 21 consume consume NOUN cana-4155 48 22 . . PUNCT cana-4155 49 1 understanding understanding NOUN cana-4155 49 2 of of ADP cana-4155 49 3 these these DET cana-4155 49 4 pictures picture NOUN cana-4155 49 5 relies rely VERB cana-4155 49 6 upon upon SCONJ cana-4155 49 7 the the DET cana-4155 49 8 singular singular ADJ cana-4155 49 9 clinician clinician NOUN cana-4155 49 10 's 's PART cana-4155 49 11 judgment judgment NOUN cana-4155 49 12 and and CCONJ cana-4155 49 13 experience experience NOUN cana-4155 49 14 . . PUNCT cana-4155 50 1 as as ADP cana-4155 50 2 of of ADP cana-4155 50 3 late late ADJ cana-4155 50 4 , , PUNCT cana-4155 50 5 x x X cana-4155 50 6 - - NOUN cana-4155 50 7 ray ray NOUN cana-4155 50 8 has have AUX cana-4155 50 9 gotten get VERB cana-4155 50 10 a a DET cana-4155 50 11 lot lot NOUN cana-4155 50 12 of of ADP cana-4155 50 13 consideration consideration NOUN cana-4155 50 14 from from ADP cana-4155 50 15 clinical clinical ADJ cana-4155 50 16 specialists specialist NOUN cana-4155 50 17 . . PUNCT cana-4155 51 1 one one NUM cana-4155 51 2 of of ADP cana-4155 51 3 the the DET cana-4155 51 4 most most ADV cana-4155 51 5 troublesome troublesome ADJ cana-4155 51 6 parts part NOUN cana-4155 51 7 of of ADP cana-4155 51 8 mind mind NOUN cana-4155 51 9 growth growth NOUN cana-4155 51 10 arrangement arrangement NOUN cana-4155 51 11 is be AUX cana-4155 51 12 distinguishing distinguish VERB cana-4155 51 13 and and CCONJ cana-4155 51 14 forestalling forestall VERB cana-4155 51 15 cancer cancer NOUN cana-4155 51 16 types type NOUN cana-4155 51 17 . . PUNCT cana-4155 52 1 precise precise ADJ cana-4155 52 2 cancer cancer NOUN cana-4155 52 3 order order NOUN cana-4155 52 4 assists assist VERB cana-4155 52 5 with with ADP cana-4155 52 6 surveying surveying NOUN cana-4155 52 7 infection infection NOUN cana-4155 52 8 movement movement NOUN cana-4155 52 9 and and CCONJ cana-4155 52 10 select select VERB cana-4155 52 11 restorative restorative ADJ cana-4155 52 12 systems system NOUN cana-4155 52 13 . . PUNCT cana-4155 53 1 to to PART cana-4155 53 2 achieve achieve VERB cana-4155 53 3 the the DET cana-4155 53 4 goal goal NOUN cana-4155 53 5 , , PUNCT cana-4155 53 6 a a DET cana-4155 53 7 resnet50 resnet50 NOUN cana-4155 53 8 - - PUNCT cana-4155 53 9 cnn cnn PROPN cana-4155 53 10 technique technique NOUN cana-4155 53 11 was be AUX cana-4155 53 12 proposed propose VERB cana-4155 53 13 . . PUNCT cana-4155 54 1 then then ADV cana-4155 54 2 refine refine VERB cana-4155 54 3 these these DET cana-4155 54 4 elements element NOUN cana-4155 54 5 by by ADP cana-4155 54 6 utilizing utilize VERB cana-4155 54 7 numerous numerous ADJ cana-4155 54 8 convolutional convolutional ADJ cana-4155 54 9 layers layer NOUN cana-4155 54 10 of of ADP cana-4155 54 11 cnn cnn PROPN cana-4155 54 12 , , PUNCT cana-4155 54 13 known know VERB cana-4155 54 14 for for ADP cana-4155 54 15 their their PRON cana-4155 54 16 strong strong ADJ cana-4155 54 17 abilities ability NOUN cana-4155 54 18 in in ADP cana-4155 54 19 picture picture NOUN cana-4155 54 20 handling handle VERB cana-4155 54 21 undertakings undertaking NOUN cana-4155 54 22 . . PUNCT cana-4155 55 1 the the DET cana-4155 55 2 resnet50 resnet50 NOUN cana-4155 55 3 - - PUNCT cana-4155 55 4 cnn cnn PROPN cana-4155 55 5 strategy strategy NOUN cana-4155 55 6 empowers empower VERB cana-4155 55 7 the the DET cana-4155 55 8 model model NOUN cana-4155 55 9 to to PART cana-4155 55 10 catch catch VERB cana-4155 55 11 complex complex ADJ cana-4155 55 12 examples example NOUN cana-4155 55 13 and and CCONJ cana-4155 55 14 unobtrusive unobtrusive ADJ cana-4155 55 15 contrasts contrast NOUN cana-4155 55 16 in in ADP cana-4155 55 17 cerebrum cerebrum NOUN cana-4155 55 18 cancer cancer NOUN cana-4155 55 19 pictures picture NOUN cana-4155 55 20 , , PUNCT cana-4155 55 21 hence hence ADV cana-4155 55 22 further far ADV cana-4155 55 23 developing develop VERB cana-4155 55 24 order order NOUN cana-4155 55 25 execution execution NOUN cana-4155 55 26 . . PUNCT cana-4155 56 1 this this DET cana-4155 56 2 approach approach NOUN cana-4155 56 3 consolidates consolidate VERB cana-4155 56 4 the the DET cana-4155 56 5 solo solo NOUN cana-4155 56 6 learning learn VERB cana-4155 56 7 capacities capacity NOUN cana-4155 56 8 of of ADP cana-4155 56 9 dbns dbns NOUN cana-4155 56 10 to to PART cana-4155 56 11 show show VERB cana-4155 56 12 complex complex ADJ cana-4155 56 13 information information NOUN cana-4155 56 14 circulations circulation NOUN cana-4155 56 15 and and CCONJ cana-4155 56 16 the the DET cana-4155 56 17 administered administer VERB cana-4155 56 18 learning learning NOUN cana-4155 56 19 abilities ability NOUN cana-4155 56 20 of of ADP cana-4155 56 21 cnns cnn NOUN cana-4155 56 22 to to PART cana-4155 56 23 accomplish accomplish VERB cana-4155 56 24 high high ADJ cana-4155 56 25 exactness exactness NOUN cana-4155 56 26 in in ADP cana-4155 56 27 communications communication NOUN cana-4155 56 28 on on ADP cana-4155 56 29 applied apply VERB cana-4155 56 30 nonlinear nonlinear ADJ cana-4155 56 31 analysis analysis NOUN cana-4155 56 32 issn issn NOUN cana-4155 56 33 : : PUNCT cana-4155 56 34 1074 1074 NUM cana-4155 56 35 - - PUNCT cana-4155 56 36 133x 133x NUM cana-4155 56 37 vol vol NOUN cana-4155 56 38 32 32 NUM cana-4155 56 39 no no NOUN cana-4155 56 40 . . PUNCT cana-4155 57 1 9s 9s NUM cana-4155 57 2 ( ( PUNCT cana-4155 57 3 2025 2025 NUM cana-4155 57 4 ) ) PUNCT cana-4155 57 5 1377 1377 NUM cana-4155 57 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 57 7 arrangement arrangement NOUN cana-4155 57 8 assignments assignment NOUN cana-4155 57 9 . . PUNCT cana-4155 58 1 this this DET cana-4155 58 2 strategy strategy NOUN cana-4155 58 3 has have AUX cana-4155 58 4 shown show VERB cana-4155 58 5 promising promise VERB cana-4155 58 6 outcomes outcome NOUN cana-4155 58 7 in in ADP cana-4155 58 8 separating separate VERB cana-4155 58 9 various various ADJ cana-4155 58 10 classifications classification NOUN cana-4155 58 11 of of ADP cana-4155 58 12 mind mind NOUN cana-4155 58 13 growths growth NOUN cana-4155 58 14 like like ADP cana-4155 58 15 gliomas glioma NOUN cana-4155 58 16 , , PUNCT cana-4155 58 17 meningiomas meningioma NOUN cana-4155 58 18 , , PUNCT cana-4155 58 19 and and CCONJ cana-4155 58 20 pituitary pituitary ADJ cana-4155 58 21 cancers cancer NOUN cana-4155 58 22 as as ADP cana-4155 58 23 of of ADP cana-4155 58 24 clinical clinical ADJ cana-4155 58 25 imaging imaging NOUN cana-4155 58 26 information information NOUN cana-4155 58 27 . . PUNCT cana-4155 59 1 resnet50 resnet50 PROPN cana-4155 59 2 - - PUNCT cana-4155 59 3 cnn cnn PROPN cana-4155 59 4 can can AUX cana-4155 59 5 possibly possibly ADV cana-4155 59 6 progress progress VERB cana-4155 59 7 clinical clinical ADJ cana-4155 59 8 conclusion conclusion NOUN cana-4155 59 9 and and CCONJ cana-4155 59 10 work work NOUN cana-4155 59 11 on on ADP cana-4155 59 12 tolerant tolerant ADJ cana-4155 59 13 results result NOUN cana-4155 59 14 by by ADP cana-4155 59 15 giving give VERB cana-4155 59 16 a a DET cana-4155 59 17 strong strong ADJ cana-4155 59 18 and and CCONJ cana-4155 59 19 helpful helpful ADJ cana-4155 59 20 cerebrum cerebrum NOUN cana-4155 59 21 growth growth NOUN cana-4155 59 22 characterization characterization NOUN cana-4155 59 23 system system NOUN cana-4155 59 24 . . PUNCT cana-4155 60 1 2 2 X cana-4155 60 2 . . X cana-4155 60 3 related relate VERB cana-4155 60 4 work work NOUN cana-4155 60 5 many many ADJ cana-4155 60 6 deep deep ADJ cana-4155 60 7 learning learning NOUN cana-4155 60 8 - - PUNCT cana-4155 60 9 based base VERB cana-4155 60 10 methods method NOUN cana-4155 60 11 have have AUX cana-4155 60 12 been be AUX cana-4155 60 13 proposed propose VERB cana-4155 60 14 for for ADP cana-4155 60 15 brain brain NOUN cana-4155 60 16 tumor tumor NOUN cana-4155 60 17 segmentation segmentation NOUN cana-4155 60 18 . . PUNCT cana-4155 61 1 most most ADJ cana-4155 61 2 research research NOUN cana-4155 61 3 focus focus NOUN cana-4155 61 4 on on ADP cana-4155 61 5 the the DET cana-4155 61 6 internal internal ADJ cana-4155 61 7 structure structure NOUN cana-4155 61 8 of of ADP cana-4155 61 9 deep deep ADJ cana-4155 61 10 networks network NOUN cana-4155 61 11 to to PART cana-4155 61 12 improve improve VERB cana-4155 61 13 segmentation segmentation NOUN cana-4155 61 14 accuracy accuracy NOUN cana-4155 61 15 , , PUNCT cana-4155 61 16 whereas whereas SCONJ cana-4155 61 17 crucial crucial ADJ cana-4155 61 18 exterior exterior ADJ cana-4155 61 19 information information NOUN cana-4155 61 20 , , PUNCT cana-4155 61 21 such such ADJ cana-4155 61 22 as as ADP cana-4155 61 23 the the DET cana-4155 61 24 typical typical ADJ cana-4155 61 25 appearance appearance NOUN cana-4155 61 26 of of ADP cana-4155 61 27 the the DET cana-4155 61 28 brain brain NOUN cana-4155 61 29 , , PUNCT cana-4155 61 30 is be AUX cana-4155 61 31 often often ADV cana-4155 61 32 ignored ignore VERB cana-4155 61 33 [ [ PUNCT cana-4155 61 34 1 1 NUM cana-4155 61 35 ] ] PUNCT cana-4155 61 36 . . PUNCT cana-4155 62 1 medical medical ADJ cana-4155 62 2 practitioners practitioner NOUN cana-4155 62 3 find find VERB cana-4155 62 4 it it PRON cana-4155 62 5 difficult difficult ADJ cana-4155 62 6 to to PART cana-4155 62 7 manually manually ADV cana-4155 62 8 assess assess VERB cana-4155 62 9 magnetic magnetic ADJ cana-4155 62 10 resonance resonance NOUN cana-4155 62 11 imaging imaging NOUN cana-4155 62 12 ( ( PUNCT cana-4155 62 13 mri mri NOUN cana-4155 62 14 ) ) PUNCT cana-4155 62 15 pictures picture NOUN cana-4155 62 16 due due ADP cana-4155 62 17 to to ADP cana-4155 62 18 time time NOUN cana-4155 62 19 constraints constraint NOUN cana-4155 62 20 and and CCONJ cana-4155 62 21 unpredictability unpredictability NOUN cana-4155 62 22 , , PUNCT cana-4155 62 23 despite despite SCONJ cana-4155 62 24 the the DET cana-4155 62 25 fact fact NOUN cana-4155 62 26 that that SCONJ cana-4155 62 27 mri mri NOUN cana-4155 62 28 is be AUX cana-4155 62 29 commonly commonly ADV cana-4155 62 30 utilized utilize VERB cana-4155 62 31 to to PART cana-4155 62 32 diagnosis diagnosis VERB cana-4155 62 33 these these DET cana-4155 62 34 disorders disorder NOUN cana-4155 62 35 . . PUNCT cana-4155 63 1 this this DET cana-4155 63 2 study study NOUN cana-4155 63 3 introduces introduce VERB cana-4155 63 4 a a DET cana-4155 63 5 novel novel NOUN cana-4155 63 6 , , PUNCT cana-4155 63 7 two two NUM cana-4155 63 8 - - PUNCT cana-4155 63 9 module module NOUN cana-4155 63 10 computerized computerized ADJ cana-4155 63 11 method method NOUN cana-4155 63 12 intended intend VERB cana-4155 63 13 to to PART cana-4155 63 14 increase increase VERB cana-4155 63 15 the the DET cana-4155 63 16 accuracy accuracy NOUN cana-4155 63 17 and and CCONJ cana-4155 63 18 speed speed NOUN cana-4155 63 19 of of ADP cana-4155 63 20 brain brain NOUN cana-4155 63 21 tumor tumor NOUN cana-4155 63 22 diagnosis diagnosis NOUN cana-4155 63 23 . . PUNCT cana-4155 64 1 the the DET cana-4155 64 2 first first ADJ cana-4155 64 3 module module NOUN cana-4155 64 4 , , PUNCT cana-4155 64 5 named name VERB cana-4155 64 6 the the DET cana-4155 64 7 image image NOUN cana-4155 64 8 enhancement enhancement NOUN cana-4155 64 9 technique technique NOUN cana-4155 64 10 , , PUNCT cana-4155 64 11 uses use VERB cana-4155 64 12 three three NUM cana-4155 64 13 machine machine NOUN cana-4155 64 14 learning learning NOUN cana-4155 64 15 and and CCONJ cana-4155 64 16 imaging imaging NOUN cana-4155 64 17 techniques technique NOUN cana-4155 64 18 β€” β€” PUNCT cana-4155 64 19 adaptive adaptive ADJ cana-4155 64 20 wiener wiener NOUN cana-4155 64 21 filtering filtering NOUN cana-4155 64 22 , , PUNCT cana-4155 64 23 neural neural ADJ cana-4155 64 24 networks network NOUN cana-4155 64 25 , , PUNCT cana-4155 64 26 and and CCONJ cana-4155 64 27 independent independent ADJ cana-4155 64 28 component component NOUN cana-4155 64 29 β€” β€” PUNCT cana-4155 64 30 to to PART cana-4155 64 31 normalize normalize VERB cana-4155 64 32 images image NOUN cana-4155 64 33 and and CCONJ cana-4155 64 34 solve solve VERB cana-4155 64 35 issues issue NOUN cana-4155 64 36 like like ADP cana-4155 64 37 noise noise NOUN cana-4155 64 38 and and CCONJ cana-4155 64 39 fluctuating fluctuate VERB cana-4155 64 40 low low ADJ cana-4155 64 41 regions region NOUN cana-4155 64 42 [ [ X cana-4155 64 43 2 2 NUM cana-4155 64 44 ] ] PUNCT cana-4155 64 45 . . PUNCT cana-4155 65 1 a a DET cana-4155 65 2 surgeon surgeon NOUN cana-4155 65 3 is be AUX cana-4155 65 4 most most ADV cana-4155 65 5 interested interested ADJ cana-4155 65 6 in in ADP cana-4155 65 7 removing remove VERB cana-4155 65 8 a a DET cana-4155 65 9 brain brain NOUN cana-4155 65 10 tumor tumor NOUN cana-4155 65 11 completely completely ADV cana-4155 65 12 because because SCONJ cana-4155 65 13 the the DET cana-4155 65 14 resection resection NOUN cana-4155 65 15 area area NOUN cana-4155 65 16 is be AUX cana-4155 65 17 directly directly ADV cana-4155 65 18 related relate VERB cana-4155 65 19 to to ADP cana-4155 65 20 the the DET cana-4155 65 21 recurrence recurrence NOUN cana-4155 65 22 rate rate NOUN cana-4155 65 23 . . PUNCT cana-4155 66 1 numerous numerous ADJ cana-4155 66 2 biomedical biomedical ADJ cana-4155 66 3 imaging imaging NOUN cana-4155 66 4 modalities modality NOUN cana-4155 66 5 are be AUX cana-4155 66 6 used use VERB cana-4155 66 7 to to PART cana-4155 66 8 locate locate VERB cana-4155 66 9 tumors tumor NOUN cana-4155 66 10 , , PUNCT cana-4155 66 11 but but CCONJ cana-4155 66 12 they they PRON cana-4155 66 13 are be AUX cana-4155 66 14 inconvenient inconvenient ADJ cana-4155 66 15 to to PART cana-4155 66 16 use use VERB cana-4155 66 17 intraoperatively intraoperatively ADV cana-4155 66 18 and and CCONJ cana-4155 66 19 lack lack VERB cana-4155 66 20 the the DET cana-4155 66 21 spatial spatial ADJ cana-4155 66 22 resolution resolution NOUN cana-4155 66 23 necessary necessary ADJ cana-4155 66 24 to to PART cana-4155 66 25 accurately accurately ADV cana-4155 66 26 distinguish distinguish VERB cana-4155 66 27 between between ADP cana-4155 66 28 brain brain NOUN cana-4155 66 29 tumors tumor NOUN cana-4155 66 30 and and CCONJ cana-4155 66 31 normal normal ADJ cana-4155 66 32 brain brain NOUN cana-4155 66 33 tissues tissue NOUN cana-4155 67 1 [ [ X cana-4155 67 2 3 3 NUM cana-4155 67 3 ] ] PUNCT cana-4155 67 4 . . PUNCT cana-4155 68 1 features feature NOUN cana-4155 68 2 are be AUX cana-4155 68 3 typically typically ADV cana-4155 68 4 extracted extract VERB cana-4155 68 5 from from ADP cana-4155 68 6 the the DET cana-4155 68 7 bottom bottom ADJ cana-4155 68 8 layers layer NOUN cana-4155 68 9 of of ADP cana-4155 68 10 pre pre ADJ cana-4155 68 11 - - ADJ cana-4155 68 12 trained train VERB cana-4155 68 13 models model NOUN cana-4155 68 14 in in ADP cana-4155 68 15 recent recent ADJ cana-4155 68 16 applications application NOUN cana-4155 68 17 , , PUNCT cana-4155 68 18 which which PRON cana-4155 68 19 differ differ VERB cana-4155 68 20 from from ADP cana-4155 68 21 natural natural ADJ cana-4155 68 22 images image NOUN cana-4155 68 23 to to ADP cana-4155 68 24 medical medical ADJ cana-4155 68 25 images image NOUN cana-4155 68 26 [ [ X cana-4155 68 27 4 4 NUM cana-4155 68 28 ] ] PUNCT cana-4155 68 29 . . PUNCT cana-4155 69 1 because because SCONJ cana-4155 69 2 of of ADP cana-4155 69 3 their their PRON cana-4155 69 4 aberrant aberrant ADJ cana-4155 69 5 cell cell NOUN cana-4155 69 6 proliferation proliferation NOUN cana-4155 69 7 , , PUNCT cana-4155 69 8 brain brain NOUN cana-4155 69 9 tumors tumor NOUN cana-4155 69 10 pose pose VERB cana-4155 69 11 serious serious ADJ cana-4155 69 12 health health NOUN cana-4155 69 13 hazards hazard NOUN cana-4155 69 14 , , PUNCT cana-4155 69 15 including include VERB cana-4155 69 16 the the DET cana-4155 69 17 possibility possibility NOUN cana-4155 69 18 of of ADP cana-4155 69 19 organ organ NOUN cana-4155 69 20 failure failure NOUN cana-4155 69 21 and and CCONJ cana-4155 69 22 adult adult NOUN cana-4155 69 23 death death NOUN cana-4155 69 24 . . PUNCT cana-4155 70 1 although although SCONJ cana-4155 70 2 magnetic magnetic ADJ cana-4155 70 3 resonance resonance NOUN cana-4155 70 4 imaging imaging NOUN cana-4155 70 5 ( ( PUNCT cana-4155 70 6 mri mri NOUN cana-4155 70 7 ) ) PUNCT cana-4155 70 8 is be AUX cana-4155 70 9 essential essential ADJ cana-4155 70 10 for for ADP cana-4155 70 11 classifying classify VERB cana-4155 70 12 tumors tumor NOUN cana-4155 70 13 , , PUNCT cana-4155 70 14 sophisticated sophisticated ADJ cana-4155 70 15 techniques technique NOUN cana-4155 70 16 are be AUX cana-4155 70 17 required require VERB cana-4155 70 18 for for ADP cana-4155 70 19 an an DET cana-4155 70 20 accurate accurate ADJ cana-4155 70 21 diagnosis diagnosis NOUN cana-4155 70 22 due due ADP cana-4155 70 23 to to ADP cana-4155 70 24 a a DET cana-4155 70 25 lack lack NOUN cana-4155 70 26 of of ADP cana-4155 70 27 experience experience NOUN cana-4155 70 28 in in ADP cana-4155 70 29 this this DET cana-4155 70 30 field field NOUN cana-4155 70 31 . . PUNCT cana-4155 71 1 although although SCONJ cana-4155 71 2 deep deep ADJ cana-4155 71 3 learning learning NOUN cana-4155 71 4 has have AUX cana-4155 71 5 become become VERB cana-4155 71 6 a a DET cana-4155 71 7 crucial crucial ADJ cana-4155 71 8 technique technique NOUN cana-4155 71 9 , , PUNCT cana-4155 71 10 there there PRON cana-4155 71 11 are be VERB cana-4155 71 12 still still ADV cana-4155 71 13 gaps gap NOUN cana-4155 71 14 in in ADP cana-4155 71 15 reaching reach VERB cana-4155 71 16 the the DET cana-4155 71 17 best good ADJ cana-4155 71 18 accuracy accuracy NOUN cana-4155 72 1 [ [ X cana-4155 72 2 5 5 NUM cana-4155 72 3 ] ] PUNCT cana-4155 72 4 . . PUNCT cana-4155 73 1 a a DET cana-4155 73 2 support support NOUN cana-4155 73 3 - - PUNCT cana-4155 73 4 learning learn VERB cana-4155 73 5 specialist specialist NOUN cana-4155 73 6 that that PRON cana-4155 73 7 can can AUX cana-4155 73 8 connect connect VERB cana-4155 73 9 with with ADP cana-4155 73 10 a a DET cana-4155 73 11 climate climate NOUN cana-4155 73 12 that that PRON cana-4155 73 13 includes include VERB cana-4155 73 14 pictures picture NOUN cana-4155 73 15 of of ADP cana-4155 73 16 cerebrum cerebrum NOUN cana-4155 73 17 growths growth NOUN cana-4155 73 18 might might AUX cana-4155 73 19 extricate extricate VERB cana-4155 73 20 and and CCONJ cana-4155 73 21 characterize characterize VERB cana-4155 73 22 the the DET cana-4155 73 23 pictures picture NOUN cana-4155 73 24 that that PRON cana-4155 73 25 are be AUX cana-4155 73 26 generally generally ADV cana-4155 73 27 like like ADP cana-4155 73 28 an an DET cana-4155 73 29 obscure obscure ADJ cana-4155 73 30 inquiry inquiry NOUN cana-4155 73 31 picture picture NOUN cana-4155 73 32 . . PUNCT cana-4155 74 1 distinguishes distinguish VERB cana-4155 74 2 three three NUM cana-4155 74 3 unmistakable unmistakable ADJ cana-4155 74 4 sorts sort NOUN cana-4155 74 5 of of ADP cana-4155 74 6 mind mind NOUN cana-4155 74 7 malignancies malignancy NOUN cana-4155 74 8 and and CCONJ cana-4155 74 9 those those PRON cana-4155 74 10 without without ADP cana-4155 74 11 cancers cancer NOUN cana-4155 74 12 utilizing utilize VERB cana-4155 74 13 an an DET cana-4155 74 14 original original ADJ cana-4155 74 15 fluffy fluffy ADJ cana-4155 74 16 support support NOUN cana-4155 74 17 learning learn VERB cana-4155 74 18 ( ( PUNCT cana-4155 74 19 rl rl NOUN cana-4155 74 20 ) ) PUNCT cana-4155 74 21 strategy strategy NOUN cana-4155 74 22 in in ADP cana-4155 74 23 light light NOUN cana-4155 74 24 of of ADP cana-4155 74 25 profound profound ADJ cana-4155 74 26 learning learning NOUN cana-4155 74 27 ( ( PUNCT cana-4155 74 28 dl dl PROPN cana-4155 74 29 ) ) PUNCT cana-4155 74 30 . . PUNCT cana-4155 75 1 the the DET cana-4155 75 2 profound profound ADJ cana-4155 75 3 cerebrum cerebrum NOUN cana-4155 75 4 incep incep VERB cana-4155 75 5 res re NOUN cana-4155 75 6 engineering engineering NOUN cana-4155 75 7 2.0 2.0 NUM cana-4155 75 8 based base VERB cana-4155 75 9 support support NOUN cana-4155 75 10 learning learn VERB cana-4155 75 11 organization organization NOUN cana-4155 75 12 ( ( PUNCT cana-4155 75 13 dbira2.0 dbira2.0 PROPN cana-4155 75 14 - - PUNCT cana-4155 75 15 rln rln NOUN cana-4155 75 16 ) ) PUNCT cana-4155 75 17 , , PUNCT cana-4155 75 18 a a DET cana-4155 75 19 proposed propose VERB cana-4155 75 20 convolutional convolutional ADJ cana-4155 75 21 brain brain NOUN cana-4155 75 22 organization organization NOUN cana-4155 75 23 ( ( PUNCT cana-4155 75 24 cnn)based cnn)base VERB cana-4155 75 25 approach approach NOUN cana-4155 75 26 , , PUNCT cana-4155 75 27 has have VERB cana-4155 75 28 an an DET cana-4155 75 29 original original ADJ cana-4155 75 30 design design NOUN cana-4155 75 31 that that PRON cana-4155 75 32 utilizes utilize VERB cana-4155 75 33 a a DET cana-4155 75 34 successful successful ADJ cana-4155 75 35 skip skip NOUN cana-4155 75 36 - - PUNCT cana-4155 75 37 association association NOUN cana-4155 75 38 planning planning NOUN cana-4155 75 39 plan plan NOUN cana-4155 75 40 and and CCONJ cana-4155 75 41 the the DET cana-4155 75 42 initiation initiation NOUN cana-4155 75 43 block block NOUN cana-4155 75 44 to to PART cana-4155 75 45 lay lay VERB cana-4155 75 46 out out ADP cana-4155 75 47 mind mind NOUN cana-4155 75 48 cancer cancer NOUN cana-4155 75 49 descriptors descriptor NOUN cana-4155 75 50 [ [ X cana-4155 75 51 6 6 NUM cana-4155 75 52 ] ] PUNCT cana-4155 75 53 . . PUNCT cana-4155 76 1 considering consider VERB cana-4155 76 2 that that SCONJ cana-4155 76 3 cerebrum cerebrum PROPN cana-4155 76 4 growth growth NOUN cana-4155 76 5 division division NOUN cana-4155 76 6 by by ADP cana-4155 76 7 hand hand NOUN cana-4155 76 8 is be AUX cana-4155 76 9 an an DET cana-4155 76 10 incredibly incredibly ADV cana-4155 76 11 tedious tedious ADJ cana-4155 76 12 , , PUNCT cana-4155 76 13 costly costly ADJ cana-4155 76 14 , , PUNCT cana-4155 76 15 and and CCONJ cana-4155 76 16 abstract abstract ADJ cana-4155 76 17 cycle cycle NOUN cana-4155 76 18 , , PUNCT cana-4155 76 19 reasonable reasonable ADJ cana-4155 76 20 mechanized mechanized ADJ cana-4155 76 21 arrangements arrangement NOUN cana-4155 76 22 are be AUX cana-4155 76 23 profoundly profoundly ADV cana-4155 76 24 esteemed esteemed ADJ cana-4155 76 25 for for ADP cana-4155 76 26 this this DET cana-4155 76 27 reason reason NOUN cana-4155 76 28 . . PUNCT cana-4155 77 1 be be AUX cana-4155 77 2 that that SCONJ cana-4155 77 3 as as SCONJ cana-4155 77 4 it it PRON cana-4155 77 5 may may AUX cana-4155 77 6 , , PUNCT cana-4155 77 7 because because SCONJ cana-4155 77 8 of of ADP cana-4155 77 9 the the DET cana-4155 77 10 large large ADJ cana-4155 77 11 number number NOUN cana-4155 77 12 of of ADP cana-4155 77 13 sizes size NOUN cana-4155 77 14 , , PUNCT cana-4155 77 15 shapes shape NOUN cana-4155 77 16 , , PUNCT cana-4155 77 17 and and CCONJ cana-4155 77 18 attractive attractive ADJ cana-4155 77 19 reverberation reverberation NOUN cana-4155 77 20 imaging imaging NOUN cana-4155 77 21 ( ( PUNCT cana-4155 77 22 xray xray PROPN cana-4155 77 23 ) ) PUNCT cana-4155 77 24 and and CCONJ cana-4155 77 25 registered register VERB cana-4155 77 26 tomography tomography NOUN cana-4155 77 27 ( ( PUNCT cana-4155 77 28 ct ct NOUN cana-4155 77 29 ) ) PUNCT cana-4155 77 30 are be AUX cana-4155 77 31 utilized utilize VERB cana-4155 77 32 to to PART cana-4155 77 33 make make VERB cana-4155 77 34 pictures picture NOUN cana-4155 77 35 of of ADP cana-4155 77 36 the the DET cana-4155 77 37 cerebrum cerebrum NOUN cana-4155 78 1 [ [ X cana-4155 78 2 7 7 NUM cana-4155 78 3 ] ] PUNCT cana-4155 78 4 . . PUNCT cana-4155 79 1 x x X cana-4155 79 2 - - PUNCT cana-4155 79 3 ray ray NOUN cana-4155 79 4 is be AUX cana-4155 79 5 critical critical ADJ cana-4155 79 6 for for ADP cana-4155 79 7 the the DET cana-4155 79 8 conclusion conclusion NOUN cana-4155 79 9 of of ADP cana-4155 79 10 mind mind NOUN cana-4155 79 11 diseases disease NOUN cana-4155 79 12 and and CCONJ cana-4155 79 13 the the DET cana-4155 79 14 examination examination NOUN cana-4155 79 15 of of ADP cana-4155 79 16 other other ADJ cana-4155 79 17 cerebrum cerebrum NOUN cana-4155 79 18 issues issue NOUN cana-4155 79 19 . . PUNCT cana-4155 80 1 radiologists radiologist NOUN cana-4155 80 2 or or CCONJ cana-4155 80 3 different different ADJ cana-4155 80 4 specialists specialist NOUN cana-4155 80 5 regularly regularly ADV cana-4155 80 6 physically physically ADV cana-4155 80 7 survey survey VERB cana-4155 80 8 x x ADJ cana-4155 80 9 - - NOUN cana-4155 80 10 ray ray NOUN cana-4155 80 11 pictures picture NOUN cana-4155 80 12 to to PART cana-4155 80 13 identify identify VERB cana-4155 80 14 cerebrum cerebrum NOUN cana-4155 80 15 growths growth NOUN cana-4155 80 16 and and CCONJ cana-4155 80 17 anomalies anomaly NOUN cana-4155 80 18 in in ADP cana-4155 80 19 their their PRON cana-4155 80 20 beginning begin VERB cana-4155 80 21 phases phase NOUN cana-4155 80 22 and and CCONJ cana-4155 80 23 direct direct VERB cana-4155 80 24 the the DET cana-4155 80 25 proper proper ADJ cana-4155 80 26 treatment treatment NOUN cana-4155 80 27 . . PUNCT cana-4155 81 1 in in ADP cana-4155 81 2 any any DET cana-4155 81 3 case case NOUN cana-4155 81 4 , , PUNCT cana-4155 81 5 early early ADJ cana-4155 81 6 mind mind NOUN cana-4155 81 7 cancer cancer NOUN cana-4155 81 8 communications communication NOUN cana-4155 81 9 on on ADP cana-4155 81 10 applied apply VERB cana-4155 81 11 nonlinear nonlinear ADJ cana-4155 81 12 analysis analysis NOUN cana-4155 81 13 issn issn NOUN cana-4155 81 14 : : PUNCT cana-4155 81 15 1074 1074 NUM cana-4155 81 16 - - PUNCT cana-4155 81 17 133x 133x NUM cana-4155 81 18 vol vol NOUN cana-4155 81 19 32 32 NUM cana-4155 81 20 no no NOUN cana-4155 81 21 . . PUNCT cana-4155 82 1 9s 9s NUM cana-4155 82 2 ( ( PUNCT cana-4155 82 3 2025 2025 NUM cana-4155 82 4 ) ) PUNCT cana-4155 82 5 1378 1378 NUM cana-4155 83 1 https://internationalpubls.com https://internationalpubls.com X cana-4155 83 2 discovery discovery NOUN cana-4155 83 3 is be AUX cana-4155 83 4 testing test VERB cana-4155 83 5 and and CCONJ cana-4155 83 6 requires require VERB cana-4155 83 7 computational computational ADJ cana-4155 83 8 techniques technique NOUN cana-4155 83 9 . . PUNCT cana-4155 84 1 this this DET cana-4155 84 2 work work NOUN cana-4155 84 3 presents present VERB cana-4155 84 4 an an DET cana-4155 84 5 original original ADJ cana-4155 84 6 methodology methodology NOUN cana-4155 84 7 for for ADP cana-4155 84 8 mechanized mechanized ADJ cana-4155 84 9 mind mind NOUN cana-4155 84 10 growth growth NOUN cana-4155 84 11 division division NOUN cana-4155 84 12 and and CCONJ cana-4155 84 13 a a DET cana-4155 84 14 system system NOUN cana-4155 84 15 for for ADP cana-4155 84 16 grouping group VERB cana-4155 84 17 cerebrum cerebrum NOUN cana-4155 84 18 cancer cancer NOUN cana-4155 84 19 districts district NOUN cana-4155 84 20 [ [ X cana-4155 84 21 8 8 NUM cana-4155 84 22 ] ] PUNCT cana-4155 84 23 . . PUNCT cana-4155 85 1 while while SCONJ cana-4155 85 2 utilizing utilize VERB cana-4155 85 3 straightforward straightforward ADJ cana-4155 85 4 multi multi ADJ cana-4155 85 5 - - ADJ cana-4155 85 6 modular modular ADJ cana-4155 85 7 combination combination NOUN cana-4155 85 8 draws draw VERB cana-4155 85 9 near near ADP cana-4155 85 10 , , PUNCT cana-4155 85 11 3d 3d NUM cana-4155 85 12 completely completely ADV cana-4155 85 13 convolutional convolutional ADJ cana-4155 85 14 organizations organization NOUN cana-4155 85 15 ( ( PUNCT cana-4155 85 16 3d 3d NUM cana-4155 85 17 fcns fcns NOUN cana-4155 85 18 ) ) PUNCT cana-4155 85 19 battle battle NOUN cana-4155 85 20 to to PART cana-4155 85 21 become become VERB cana-4155 85 22 familiar familiar ADJ cana-4155 85 23 with with ADP cana-4155 85 24 the the DET cana-4155 85 25 perplexing perplexing ADJ cana-4155 85 26 and and CCONJ cana-4155 85 27 nonlinear nonlinear ADJ cana-4155 85 28 integral integral ADJ cana-4155 85 29 data datum NOUN cana-4155 85 30 between between ADP cana-4155 85 31 modalities modality NOUN cana-4155 85 32 because because SCONJ cana-4155 85 33 of of ADP cana-4155 85 34 the the DET cana-4155 85 35 complicated complicated ADJ cana-4155 85 36 communication communication NOUN cana-4155 85 37 between between ADP cana-4155 85 38 modalities modality NOUN cana-4155 85 39 . . PUNCT cana-4155 86 1 in in ADP cana-4155 86 2 the the DET cana-4155 86 3 meantime meantime NOUN cana-4155 86 4 , , PUNCT cana-4155 86 5 uncontrolled uncontrolled ADJ cana-4155 86 6 element element NOUN cana-4155 86 7 accumulation accumulation NOUN cana-4155 86 8 across across ADP cana-4155 86 9 low low ADJ cana-4155 86 10 - - PUNCT cana-4155 86 11 level level NOUN cana-4155 86 12 and and CCONJ cana-4155 86 13 significant significant ADJ cana-4155 86 14 level level NOUN cana-4155 86 15 highlights highlight NOUN cana-4155 86 16 can can AUX cana-4155 86 17 promptly promptly ADV cana-4155 86 18 prompt prompt VERB cana-4155 86 19 volumetric volumetric NOUN cana-4155 86 20 component component NOUN cana-4155 86 21 misalignment misalignment NOUN cana-4155 86 22 in in ADP cana-4155 86 23 3d 3d PROPN cana-4155 86 24 fcns fcns NOUN cana-4155 87 1 [ [ X cana-4155 87 2 9 9 NUM cana-4155 87 3 ] ] PUNCT cana-4155 87 4 . . PUNCT cana-4155 88 1 exact exact ADJ cana-4155 88 2 growth growth NOUN cana-4155 88 3 division division NOUN cana-4155 88 4 in in ADP cana-4155 88 5 view view NOUN cana-4155 88 6 of of ADP cana-4155 88 7 attractive attractive ADJ cana-4155 88 8 reverberation reverberation NOUN cana-4155 88 9 imaging imaging NOUN cana-4155 88 10 ( ( PUNCT cana-4155 88 11 x x NOUN cana-4155 88 12 - - NOUN cana-4155 88 13 ray ray NOUN cana-4155 88 14 ) ) PUNCT cana-4155 88 15 is be AUX cana-4155 88 16 fundamental fundamental ADJ cana-4155 88 17 for for ADP cana-4155 88 18 mind mind NOUN cana-4155 88 19 disease disease NOUN cana-4155 88 20 recognizable recognizable ADJ cana-4155 88 21 proof proof NOUN cana-4155 88 22 and and CCONJ cana-4155 88 23 treatment treatment NOUN cana-4155 88 24 . . PUNCT cana-4155 89 1 as as ADP cana-4155 89 2 of of ADP cana-4155 89 3 late late ADJ cana-4155 89 4 , , PUNCT cana-4155 89 5 there there PRON cana-4155 89 6 has have AUX cana-4155 89 7 been be AUX cana-4155 89 8 a a DET cana-4155 89 9 great great ADJ cana-4155 89 10 deal deal NOUN cana-4155 89 11 of of ADP cana-4155 89 12 interest interest NOUN cana-4155 89 13 in in ADP cana-4155 89 14 programmed program VERB cana-4155 89 15 cerebrum cerebrum NOUN cana-4155 89 16 cancer cancer NOUN cana-4155 89 17 division division NOUN cana-4155 89 18 utilizing utilize VERB cana-4155 89 19 u u NOUN cana-4155 89 20 - - NOUN cana-4155 89 21 net net NOUN cana-4155 89 22 . . PUNCT cana-4155 90 1 be be AUX cana-4155 90 2 that that SCONJ cana-4155 90 3 as as SCONJ cana-4155 90 4 it it PRON cana-4155 90 5 may may AUX cana-4155 90 6 , , PUNCT cana-4155 90 7 sectioning section VERB cana-4155 90 8 mind mind NOUN cana-4155 90 9 cancers cancer NOUN cana-4155 90 10 is be AUX cana-4155 90 11 a a DET cana-4155 90 12 moving move VERB cana-4155 90 13 undertaking undertaking NOUN cana-4155 90 14 because because SCONJ cana-4155 90 15 of of ADP cana-4155 90 16 their their PRON cana-4155 90 17 inconsistent inconsistent ADJ cana-4155 90 18 forcefulness forcefulness NOUN cana-4155 90 19 and and CCONJ cana-4155 90 20 physical physical ADJ cana-4155 90 21 irregularities irregularity NOUN cana-4155 90 22 . . PUNCT cana-4155 91 1 earlier early ADJ cana-4155 91 2 examinations examination NOUN cana-4155 91 3 on on ADP cana-4155 91 4 cerebrum cerebrum NOUN cana-4155 91 5 growth growth NOUN cana-4155 91 6 division division NOUN cana-4155 91 7 have have AUX cana-4155 91 8 shown show VERB cana-4155 91 9 that that SCONJ cana-4155 91 10 u u NOUN cana-4155 91 11 - - NOUN cana-4155 91 12 net net ADJ cana-4155 91 13 might might AUX cana-4155 91 14 bring bring VERB cana-4155 91 15 about about ADP cana-4155 91 16 issues issue NOUN cana-4155 91 17 with with ADP cana-4155 91 18 insufficient insufficient ADJ cana-4155 91 19 and and CCONJ cana-4155 91 20 up up ADV cana-4155 91 21 inspecting inspect VERB cana-4155 91 22 data datum NOUN cana-4155 91 23 deficit deficit NOUN cana-4155 91 24 [ [ X cana-4155 91 25 10 10 NUM cana-4155 91 26 ] ] PUNCT cana-4155 91 27 . . PUNCT cana-4155 92 1 3 3 X cana-4155 92 2 . . NUM cana-4155 92 3 proposed propose VERB cana-4155 92 4 method method NOUN cana-4155 92 5 this this DET cana-4155 92 6 suggested suggest VERB cana-4155 92 7 approach approach NOUN cana-4155 92 8 provides provide VERB cana-4155 92 9 a a DET cana-4155 92 10 thorough thorough ADJ cana-4155 92 11 explanation explanation NOUN cana-4155 92 12 of of ADP cana-4155 92 13 how how SCONJ cana-4155 92 14 to to PART cana-4155 92 15 detect detect VERB cana-4155 92 16 brain brain NOUN cana-4155 92 17 tumors tumor NOUN cana-4155 92 18 using use VERB cana-4155 92 19 the the DET cana-4155 92 20 restnet-50 restnet-50 ADJ cana-4155 92 21 convolution convolution NOUN cana-4155 92 22 neural neural ADJ cana-4155 92 23 classifier classifier NOUN cana-4155 92 24 and and CCONJ cana-4155 92 25 classify classify VERB cana-4155 92 26 them they PRON cana-4155 92 27 using use VERB cana-4155 92 28 the the DET cana-4155 92 29 softmax softmax NOUN cana-4155 92 30 function function NOUN cana-4155 92 31 . . PUNCT cana-4155 93 1 image image NOUN cana-4155 93 2 filtering filtering NOUN cana-4155 93 3 , , PUNCT cana-4155 93 4 feature feature NOUN cana-4155 93 5 selection selection NOUN cana-4155 93 6 , , PUNCT cana-4155 93 7 and and CCONJ cana-4155 93 8 categorization categorization NOUN cana-4155 93 9 are be AUX cana-4155 93 10 all all PRON cana-4155 93 11 included include VERB cana-4155 93 12 in in ADP cana-4155 93 13 the the DET cana-4155 93 14 suggested suggest VERB cana-4155 93 15 . . PUNCT cana-4155 94 1 non non ADJ cana-4155 94 2 - - ADJ cana-4155 94 3 local local ADJ cana-4155 94 4 means mean NOUN cana-4155 94 5 ( ( PUNCT cana-4155 94 6 nlm nlm NOUN cana-4155 94 7 ) ) PUNCT cana-4155 94 8 filtering filtering NOUN cana-4155 94 9 is be AUX cana-4155 94 10 a a DET cana-4155 94 11 technique technique NOUN cana-4155 94 12 used use VERB cana-4155 94 13 in in ADP cana-4155 94 14 image image NOUN cana-4155 94 15 processing processing NOUN cana-4155 94 16 , , PUNCT cana-4155 94 17 particularly particularly ADV cana-4155 94 18 for for ADP cana-4155 94 19 denoising denoising NOUN cana-4155 94 20 . . PUNCT cana-4155 95 1 the the DET cana-4155 95 2 key key ADJ cana-4155 95 3 idea idea NOUN cana-4155 95 4 behind behind ADP cana-4155 95 5 nlm nlm PROPN cana-4155 95 6 is be AUX cana-4155 95 7 that that SCONJ cana-4155 95 8 pixels pixel NOUN cana-4155 95 9 that that PRON cana-4155 95 10 are be AUX cana-4155 95 11 similar similar ADJ cana-4155 95 12 to to ADP cana-4155 95 13 each each DET cana-4155 95 14 other other ADJ cana-4155 95 15 in in ADP cana-4155 95 16 a a DET cana-4155 95 17 region region NOUN cana-4155 95 18 can can AUX cana-4155 95 19 be be AUX cana-4155 95 20 used use VERB cana-4155 95 21 to to PART cana-4155 95 22 estimate estimate VERB cana-4155 95 23 the the DET cana-4155 95 24 value value NOUN cana-4155 95 25 of of ADP cana-4155 95 26 a a DET cana-4155 95 27 noisy noisy ADJ cana-4155 95 28 pixel pixel NOUN cana-4155 95 29 . . PUNCT cana-4155 96 1 it it PRON cana-4155 96 2 ’s ’s AUX cana-4155 96 3 called call VERB cana-4155 96 4 β€œ " PUNCT cana-4155 96 5 non non ADJ cana-4155 96 6 - - ADJ cana-4155 96 7 local local ADJ cana-4155 96 8 ” " PUNCT cana-4155 96 9 because because SCONJ cana-4155 96 10 it it PRON cana-4155 96 11 does do AUX cana-4155 96 12 n’t not PART cana-4155 96 13 rely rely VERB cana-4155 96 14 on on ADP cana-4155 96 15 pixel pixel ADJ cana-4155 96 16 proximity proximity NOUN cana-4155 96 17 in in ADP cana-4155 96 18 a a DET cana-4155 96 19 local local ADJ cana-4155 96 20 neighbourhood neighbourhood NOUN cana-4155 96 21 , , PUNCT cana-4155 96 22 but but CCONJ cana-4155 96 23 instead instead ADV cana-4155 96 24 considers consider VERB cana-4155 96 25 all all DET cana-4155 96 26 pixels pixel NOUN cana-4155 96 27 in in ADP cana-4155 96 28 the the DET cana-4155 96 29 image image NOUN cana-4155 96 30 or or CCONJ cana-4155 96 31 a a DET cana-4155 96 32 large large ADJ cana-4155 96 33 surrounding surround VERB cana-4155 96 34 region region NOUN cana-4155 96 35 . . PUNCT cana-4155 97 1 figure figure NOUN cana-4155 97 2 1 1 NUM cana-4155 97 3 : : PUNCT cana-4155 97 4 proposed propose VERB cana-4155 97 5 block block NOUN cana-4155 97 6 diagram diagram PROPN cana-4155 97 7 patch patch PROPN cana-4155 97 8 comparison comparison NOUN cana-4155 97 9 a a DET cana-4155 97 10 tiny tiny ADJ cana-4155 97 11 patch patch NOUN cana-4155 97 12 , , PUNCT cana-4155 97 13 or or CCONJ cana-4155 97 14 local local ADJ cana-4155 97 15 neighbourhood neighbourhood NOUN cana-4155 97 16 , , PUNCT cana-4155 97 17 surrounding surround VERB cana-4155 97 18 each each DET cana-4155 97 19 pixel pixel NOUN cana-4155 97 20 in in ADP cana-4155 97 21 the the DET cana-4155 97 22 image image NOUN cana-4155 97 23 is be AUX cana-4155 97 24 taken take VERB cana-4155 97 25 off off ADP cana-4155 97 26 . . PUNCT cana-4155 98 1 similarity similarity NOUN cana-4155 98 2 measure measure NOUN cana-4155 98 3 a a DET cana-4155 98 4 gaussian gaussian NOUN cana-4155 98 5 - - PUNCT cana-4155 98 6 weighted weight VERB cana-4155 98 7 euclidean euclidean ADJ cana-4155 98 8 distance distance NOUN cana-4155 98 9 is be AUX cana-4155 98 10 frequently frequently ADV cana-4155 98 11 used use VERB cana-4155 98 12 to to PART cana-4155 98 13 calculate calculate VERB cana-4155 98 14 the the DET cana-4155 98 15 similarity similarity NOUN cana-4155 98 16 between between ADP cana-4155 98 17 the the DET cana-4155 98 18 current current ADJ cana-4155 98 19 pixel pixel PROPN cana-4155 98 20 's 's PART cana-4155 98 21 patch patch NOUN cana-4155 98 22 and and CCONJ cana-4155 98 23 patches patch NOUN cana-4155 98 24 surrounding surround VERB cana-4155 98 25 other other ADJ cana-4155 98 26 pixels pixel NOUN cana-4155 98 27 in in ADP cana-4155 98 28 the the DET cana-4155 98 29 full full ADJ cana-4155 98 30 image image NOUN cana-4155 98 31 . . PUNCT cana-4155 99 1 communications communication NOUN cana-4155 99 2 on on ADP cana-4155 99 3 applied apply VERB cana-4155 99 4 nonlinear nonlinear ADJ cana-4155 99 5 analysis analysis NOUN cana-4155 99 6 issn issn NOUN cana-4155 99 7 : : PUNCT cana-4155 99 8 1074 1074 NUM cana-4155 99 9 - - PUNCT cana-4155 99 10 133x 133x NUM cana-4155 99 11 vol vol NOUN cana-4155 99 12 32 32 NUM cana-4155 99 13 no no NOUN cana-4155 99 14 . . PUNCT cana-4155 100 1 9s 9s NUM cana-4155 100 2 ( ( PUNCT cana-4155 100 3 2025 2025 NUM cana-4155 100 4 ) ) PUNCT cana-4155 100 5 1379 1379 NUM cana-4155 101 1 https://internationalpubls.com https://internationalpubls.com X cana-4155 101 2 weighted weight VERB cana-4155 101 3 average average ADJ cana-4155 101 4 next next ADV cana-4155 101 5 , , PUNCT cana-4155 101 6 a a DET cana-4155 101 7 weighted weighted ADJ cana-4155 101 8 average average NOUN cana-4155 101 9 of of ADP cana-4155 101 10 comparable comparable ADJ cana-4155 101 11 patches patch NOUN cana-4155 101 12 is be AUX cana-4155 101 13 used use VERB cana-4155 101 14 to to PART cana-4155 101 15 replace replace VERB cana-4155 101 16 the the DET cana-4155 101 17 noisy noisy ADJ cana-4155 101 18 pixel pixel NOUN cana-4155 101 19 ; ; PUNCT cana-4155 101 20 the the DET cana-4155 101 21 more more ADV cana-4155 101 22 similar similar ADJ cana-4155 101 23 the the DET cana-4155 101 24 patches patch NOUN cana-4155 101 25 , , PUNCT cana-4155 101 26 the the PRON cana-4155 101 27 higher high ADJ cana-4155 101 28 the the DET cana-4155 101 29 result result NOUN cana-4155 101 30 . . PUNCT cana-4155 102 1 it it PRON cana-4155 102 2 is be AUX cana-4155 102 3 particularly particularly ADV cana-4155 102 4 helpful helpful ADJ cana-4155 102 5 for for ADP cana-4155 102 6 spatially spatially ADV cana-4155 102 7 uncorrelated uncorrelated ADJ cana-4155 102 8 noise noise NOUN cana-4155 102 9 , , PUNCT cana-4155 102 10 such such ADJ cana-4155 102 11 as as ADP cana-4155 102 12 gaussian gaussian NOUN cana-4155 102 13 , , PUNCT cana-4155 102 14 noise noise VERB cana-4155 102 15 a a DET cana-4155 102 16 fuzzy fuzzy ADJ cana-4155 102 17 clusteringbased clusteringbase VERB cana-4155 102 18 segmentation segmentation NOUN cana-4155 102 19 approach approach NOUN cana-4155 102 20 can can AUX cana-4155 102 21 provide provide VERB cana-4155 102 22 precise precise ADJ cana-4155 102 23 boundaries boundary NOUN cana-4155 102 24 , , PUNCT cana-4155 102 25 which which PRON cana-4155 102 26 are be AUX cana-4155 102 27 critical critical ADJ cana-4155 102 28 for for ADP cana-4155 102 29 diagnosis diagnosis NOUN cana-4155 102 30 and and CCONJ cana-4155 102 31 treatment treatment NOUN cana-4155 102 32 planning planning NOUN cana-4155 102 33 . . PUNCT cana-4155 103 1 it it PRON cana-4155 103 2 can can AUX cana-4155 103 3 be be AUX cana-4155 103 4 collective collective ADJ cana-4155 103 5 with with ADP cana-4155 103 6 further further ADJ cana-4155 103 7 segmentation segmentation NOUN cana-4155 103 8 protocols protocol NOUN cana-4155 103 9 , , PUNCT cana-4155 103 10 such such ADJ cana-4155 103 11 as as ADP cana-4155 103 12 region region NOUN cana-4155 103 13 growing grow VERB cana-4155 103 14 and and CCONJ cana-4155 103 15 dl dl NOUN cana-4155 103 16 - - PUNCT cana-4155 103 17 based base VERB cana-4155 103 18 methods method NOUN cana-4155 103 19 , , PUNCT cana-4155 103 20 to to PART cana-4155 103 21 improve improve VERB cana-4155 103 22 robustness robustness NOUN cana-4155 103 23 and and CCONJ cana-4155 103 24 accuracy accuracy NOUN cana-4155 103 25 . . PUNCT cana-4155 104 1 finally finally ADV cana-4155 104 2 , , PUNCT cana-4155 104 3 classify classify VERB cana-4155 104 4 the the DET cana-4155 104 5 dataset dataset NOUN cana-4155 104 6 images image NOUN cana-4155 104 7 by by ADP cana-4155 104 8 the the DET cana-4155 104 9 use use NOUN cana-4155 104 10 of of ADP cana-4155 104 11 resnet-50 resnet-50 PROPN cana-4155 104 12 cnn cnn PROPN cana-4155 104 13 method method NOUN cana-4155 104 14 . . PUNCT cana-4155 105 1 resnet-50 resnet-50 PROPN cana-4155 105 2 cnn cnn PROPN cana-4155 105 3 has have VERB cana-4155 105 4 great great ADJ cana-4155 105 5 potential potential NOUN cana-4155 105 6 to to PART cana-4155 105 7 advance advance VERB cana-4155 105 8 clinical clinical ADJ cana-4155 105 9 diagnosis diagnosis NOUN cana-4155 105 10 and and CCONJ cana-4155 105 11 improve improve VERB cana-4155 105 12 patient patient ADJ cana-4155 105 13 outcomes outcome NOUN cana-4155 105 14 by by ADP cana-4155 105 15 providing provide VERB cana-4155 105 16 a a DET cana-4155 105 17 powerful powerful ADJ cana-4155 105 18 and and CCONJ cana-4155 105 19 useful useful ADJ cana-4155 105 20 brain brain NOUN cana-4155 105 21 tumor tumor NOUN cana-4155 105 22 classification classification NOUN cana-4155 105 23 framework framework NOUN cana-4155 105 24 . . PUNCT cana-4155 106 1 3.1 3.1 NUM cana-4155 106 2 preprocessing preprocessing NOUN cana-4155 106 3 stage stage NOUN cana-4155 106 4 the the DET cana-4155 106 5 preprocessing preprocessing NOUN cana-4155 106 6 technique technique NOUN cana-4155 106 7 improves improve VERB cana-4155 106 8 input input NOUN cana-4155 106 9 data datum NOUN cana-4155 106 10 and and CCONJ cana-4155 106 11 increases increase VERB cana-4155 106 12 the the DET cana-4155 106 13 accuracy accuracy NOUN cana-4155 106 14 and and CCONJ cana-4155 106 15 reliability reliability NOUN cana-4155 106 16 of of ADP cana-4155 106 17 the the DET cana-4155 106 18 subsequent subsequent ADJ cana-4155 106 19 feature feature NOUN cana-4155 106 20 extraction extraction NOUN cana-4155 106 21 , , PUNCT cana-4155 106 22 classification classification NOUN cana-4155 106 23 , , PUNCT cana-4155 106 24 and and CCONJ cana-4155 106 25 detection detection NOUN cana-4155 106 26 processes process NOUN cana-4155 106 27 . . PUNCT cana-4155 107 1 this this DET cana-4155 107 2 approach approach NOUN cana-4155 107 3 allows allow VERB cana-4155 107 4 compressing compress VERB cana-4155 107 5 images image NOUN cana-4155 107 6 without without ADP cana-4155 107 7 significant significant ADJ cana-4155 107 8 loss loss NOUN cana-4155 107 9 of of ADP cana-4155 107 10 important important ADJ cana-4155 107 11 information information NOUN cana-4155 107 12 , , PUNCT cana-4155 107 13 thus thus ADV cana-4155 107 14 facilitating facilitate VERB cana-4155 107 15 efficient efficient ADJ cana-4155 107 16 storage storage NOUN cana-4155 107 17 and and CCONJ cana-4155 107 18 processing processing NOUN cana-4155 107 19 , , PUNCT cana-4155 107 20 especially especially ADV cana-4155 107 21 when when SCONJ cana-4155 107 22 preprocessing preprocessing AUX cana-4155 107 23 prepare prepare VERB cana-4155 107 24 the the DET cana-4155 107 25 large large ADJ cana-4155 107 26 input input NOUN cana-4155 107 27 datasets dataset NOUN cana-4155 107 28 . . PUNCT cana-4155 108 1 it it PRON cana-4155 108 2 helps help VERB cana-4155 108 3 to to PART cana-4155 108 4 distinguish distinguish VERB cana-4155 108 5 the the DET cana-4155 108 6 tumor tumor NOUN cana-4155 108 7 from from ADP cana-4155 108 8 the the DET cana-4155 108 9 surrounding surround VERB cana-4155 108 10 healthy healthy ADJ cana-4155 108 11 tissue tissue NOUN cana-4155 108 12 . . PUNCT cana-4155 109 1 numerical numerical ADJ cana-4155 109 2 methods method NOUN cana-4155 109 3 for for ADP cana-4155 109 4 estimating estimate VERB cana-4155 109 5 frequencies frequency NOUN cana-4155 109 6 , , PUNCT cana-4155 109 7 their their PRON cana-4155 109 8 application application NOUN cana-4155 109 9 to to ADP cana-4155 109 10 synthetic synthetic ADJ cana-4155 109 11 patterns pattern NOUN cana-4155 109 12 , , PUNCT cana-4155 109 13 and and CCONJ cana-4155 109 14 detection detection NOUN cana-4155 109 15 methods method NOUN cana-4155 109 16 a a DET cana-4155 109 17 normalized normalized ADJ cana-4155 109 18 resemblance resemblance ADJ cana-4155 109 19 measure measure NOUN cana-4155 109 20 m m NOUN cana-4155 109 21 are be AUX cana-4155 109 22 correspondingly correspondingly ADV cana-4155 109 23 obtainable obtainable ADJ cana-4155 109 24 here here ADV cana-4155 109 25 . . PUNCT cana-4155 110 1 the the DET cana-4155 110 2 finding finding NOUN cana-4155 110 3 of of ADP cana-4155 110 4 c c NOUN cana-4155 110 5 , , PUNCT cana-4155 110 6 a a DET cana-4155 110 7 normal normal ADJ cana-4155 110 8 probability probability NOUN cana-4155 110 9 known know VERB cana-4155 110 10 as as ADP cana-4155 110 11 ftl ftl NOUN cana-4155 110 12 , , PUNCT cana-4155 110 13 is be AUX cana-4155 110 14 connected connect VERB cana-4155 110 15 to to ADP cana-4155 110 16 data datum NOUN cana-4155 110 17 prediction prediction NOUN cana-4155 110 18 . . PUNCT cana-4155 111 1 collectives collective NOUN cana-4155 111 2 create create VERB cana-4155 111 3 and and CCONJ cana-4155 111 4 uphold uphold VERB cana-4155 111 5 a a DET cana-4155 111 6 shared share VERB cana-4155 111 7 code code NOUN cana-4155 111 8 of of ADP cana-4155 111 9 ethics ethic NOUN cana-4155 111 10 . . PUNCT cana-4155 112 1 we we PRON cana-4155 112 2 call call VERB cana-4155 112 3 this this PRON cana-4155 112 4 a a DET cana-4155 112 5 clustering clustering ADJ cana-4155 112 6 model model NOUN cana-4155 112 7 . . PUNCT cana-4155 113 1 π‘ž π‘ž X cana-4155 113 2 ( ( PUNCT cana-4155 113 3 𝐿𝑦 𝐿𝑦 PROPN cana-4155 113 4 π‘₯ π‘₯ PROPN cana-4155 113 5 |π‘‰βˆ— |π‘‰βˆ— NOUN cana-4155 113 6 , , PUNCT cana-4155 113 7 π΅βˆ— π΅βˆ— X cana-4155 113 8 = = SYM cana-4155 113 9 ∏ ∏ PROPN cana-4155 113 10 1 1 NUM cana-4155 113 11 𝐴(𝐡𝑛,β„Ž,𝐡 𝐴(𝐡𝑛,β„Ž,𝐡 NOUN cana-4155 113 12 ) ) PUNCT cana-4155 113 13 ∏ ∏ PROPN cana-4155 113 14 𝑁(𝑙𝑛|πœ‡ 𝑁(𝑙𝑛|πœ‡ NOUN cana-4155 113 15 = = SYM cana-4155 113 16 π‘π‘˜ π‘π‘˜ NOUN cana-4155 113 17 , , PUNCT cana-4155 113 18 𝑖 𝑖 PROPN cana-4155 113 19 = = PUNCT cana-4155 113 20 π΅π‘›π‘˜π»)𝐸 π΅π‘›π‘˜π»)𝐸 PROPN cana-4155 113 21 π‘˜=1 π‘˜=1 PROPN cana-4155 113 22 𝑔 𝑔 PROPN cana-4155 113 23 𝑛=1 𝑛=1 NOUN cana-4155 113 24 ) ) PUNCT cana-4155 113 25 ( ( PUNCT cana-4155 113 26 1 1 X cana-4155 113 27 ) ) PUNCT cana-4155 113 28 where where SCONJ cana-4155 113 29 a(b a(b PROPN cana-4155 113 30 n n CCONJ cana-4155 113 31 , , PUNCT cana-4155 113 32 h h NOUN cana-4155 113 33 , , PUNCT cana-4155 113 34 b b NOUN cana-4155 113 35 ) ) PUNCT cana-4155 113 36 implies imply VERB cana-4155 113 37 the the DET cana-4155 113 38 normalization normalization NOUN cana-4155 113 39 constant constant ADJ cana-4155 113 40 , , PUNCT cana-4155 113 41 b b NOUN cana-4155 113 42 places place NOUN cana-4155 113 43 the the DET cana-4155 113 44 cluster cluster NOUN cana-4155 113 45 , , PUNCT cana-4155 113 46 e e PRON cana-4155 113 47 represents represent VERB cana-4155 113 48 the the DET cana-4155 113 49 sum sum NOUN cana-4155 113 50 of of ADP cana-4155 113 51 the the DET cana-4155 113 52 clusters cluster NOUN cana-4155 113 53 , , PUNCT cana-4155 113 54 k k PROPN cana-4155 113 55 indicates indicate VERB cana-4155 113 56 the the DET cana-4155 113 57 number number NOUN cana-4155 113 58 of of ADP cana-4155 113 59 the the DET cana-4155 113 60 cluster cluster NOUN cana-4155 113 61 , , PUNCT cana-4155 113 62 and and CCONJ cana-4155 113 63 h h NOUN cana-4155 113 64 is be AUX cana-4155 113 65 the the DET cana-4155 113 66 fuzzifier fuzzifier ADJ cana-4155 113 67 equation equation NOUN cana-4155 113 68 2 2 NUM cana-4155 113 69 . . PUNCT cana-4155 114 1 an an DET cana-4155 114 2 objective objective ADJ cana-4155 114 3 function function NOUN cana-4155 114 4 is be AUX cana-4155 114 5 formulated formulate VERB cana-4155 114 6 based base VERB cana-4155 114 7 on on ADP cana-4155 114 8 this this DET cana-4155 114 9 idea idea NOUN cana-4155 114 10 . . PUNCT cana-4155 115 1 a a DET cana-4155 115 2 better well ADJ cana-4155 115 3 partitioning partitioning NOUN cana-4155 115 4 of of ADP cana-4155 115 5 the the DET cana-4155 115 6 provided provide VERB cana-4155 115 7 data data NOUN cana-4155 115 8 collection collection NOUN cana-4155 115 9 can can AUX cana-4155 115 10 be be AUX cana-4155 115 11 achieved achieve VERB cana-4155 115 12 using use VERB cana-4155 115 13 methods method NOUN cana-4155 115 14 that that PRON cana-4155 115 15 minimize minimize VERB cana-4155 115 16 / / SYM cana-4155 115 17 maximize maximize VERB cana-4155 115 18 one one NUM cana-4155 115 19 or or CCONJ cana-4155 115 20 more more ADJ cana-4155 115 21 objective objective ADJ cana-4155 115 22 functions function NOUN cana-4155 115 23 . . PUNCT cana-4155 116 1 fcs fc NOUN cana-4155 116 2 offers offer VERB cana-4155 116 3 a a DET cana-4155 116 4 flexible flexible ADJ cana-4155 116 5 and and CCONJ cana-4155 116 6 robust robust ADJ cana-4155 116 7 approach approach NOUN cana-4155 116 8 to to ADP cana-4155 116 9 clustering clustering NOUN cana-4155 116 10 that that PRON cana-4155 116 11 can can AUX cana-4155 116 12 adapt adapt VERB cana-4155 116 13 to to ADP cana-4155 116 14 various various ADJ cana-4155 116 15 data datum NOUN cana-4155 116 16 characteristics characteristic NOUN cana-4155 116 17 and and CCONJ cana-4155 116 18 modeling modeling NOUN cana-4155 116 19 requirements requirement NOUN cana-4155 116 20 . . PUNCT cana-4155 117 1 3.2 3.2 NUM cana-4155 117 2 fuzzy fuzzy ADJ cana-4155 117 3 clustering clustering NOUN cana-4155 117 4 - - PUNCT cana-4155 117 5 based base VERB cana-4155 117 6 segmentation segmentation NOUN cana-4155 117 7 ( ( PUNCT cana-4155 117 8 fcs fcs PROPN cana-4155 117 9 ) ) PUNCT cana-4155 117 10 in in ADP cana-4155 117 11 this this DET cana-4155 117 12 section section NOUN cana-4155 117 13 , , PUNCT cana-4155 117 14 employed employ VERB cana-4155 117 15 a a DET cana-4155 117 16 fuzzy fuzzy ADJ cana-4155 117 17 clustering clustering NOUN cana-4155 117 18 - - PUNCT cana-4155 117 19 based base VERB cana-4155 117 20 segmentation segmentation NOUN cana-4155 117 21 ( ( PUNCT cana-4155 117 22 fcs fcs NOUN cana-4155 117 23 ) ) PUNCT cana-4155 117 24 technique technique NOUN cana-4155 117 25 to to PART cana-4155 117 26 make make VERB cana-4155 117 27 it it PRON cana-4155 117 28 possible possible ADJ cana-4155 117 29 to to PART cana-4155 117 30 identify identify VERB cana-4155 117 31 regions region NOUN cana-4155 117 32 or or CCONJ cana-4155 117 33 objects object NOUN cana-4155 117 34 with with ADP cana-4155 117 35 comparable comparable ADJ cana-4155 117 36 characteristics characteristic NOUN cana-4155 117 37 . . PUNCT cana-4155 118 1 this this DET cana-4155 118 2 algorithm algorithm NOUN cana-4155 118 3 is be AUX cana-4155 118 4 based base VERB cana-4155 118 5 on on ADP cana-4155 118 6 clustering cluster VERB cana-4155 118 7 techniques technique NOUN cana-4155 118 8 like like ADP cana-4155 118 9 the the DET cana-4155 118 10 fcs fcs NOUN cana-4155 118 11 classifies classify VERB cana-4155 118 12 normal normal ADJ cana-4155 118 13 foot foot NOUN cana-4155 118 14 regions region NOUN cana-4155 118 15 and and CCONJ cana-4155 118 16 ulcer ulcer NOUN cana-4155 118 17 foot foot NOUN cana-4155 118 18 regions region NOUN cana-4155 118 19 during during ADP cana-4155 118 20 the the DET cana-4155 118 21 segmentation segmentation NOUN cana-4155 118 22 process process NOUN cana-4155 118 23 . . PUNCT cana-4155 119 1 create create VERB cana-4155 119 2 wreckages wreckage NOUN cana-4155 119 3 for for ADP cana-4155 119 4 mining mining NOUN cana-4155 119 5 structures structure NOUN cana-4155 119 6 . . PUNCT cana-4155 120 1 the the DET cana-4155 120 2 sum sum NOUN cana-4155 120 3 ability ability NOUN cana-4155 120 4 of of ADP cana-4155 120 5 info info NOUN cana-4155 120 6 items item NOUN cana-4155 120 7 and and CCONJ cana-4155 120 8 aspects aspect NOUN cana-4155 120 9 is be AUX cana-4155 120 10 called call VERB cana-4155 120 11 a a DET cana-4155 120 12 bayesian bayesian NOUN cana-4155 120 13 model model NOUN cana-4155 120 14 and and CCONJ cana-4155 120 15 is be AUX cana-4155 120 16 valued value VERB cana-4155 120 17 as as ADP cana-4155 120 18 follows follow VERB cana-4155 120 19 . . PUNCT cana-4155 121 1 constructed construct VERB cana-4155 121 2 on on ADP cana-4155 121 3 fdl fdl PROPN cana-4155 121 4 , , PUNCT cana-4155 121 5 the the DET cana-4155 121 6 fcs fcs NOUN cana-4155 121 7 methodology methodology NOUN cana-4155 121 8 can can AUX cana-4155 121 9 be be AUX cana-4155 121 10 obtained obtain VERB cana-4155 121 11 as as ADP cana-4155 121 12 : : PUNCT cana-4155 121 13 π‘ž(𝐿𝑦 π‘ž(𝐿𝑦 X cana-4155 121 14 π‘₯ π‘₯ X cana-4155 121 15 |π‘‰βˆ— |π‘‰βˆ— PROPN cana-4155 121 16 , , PUNCT cana-4155 121 17 π΅βˆ— π΅βˆ— X cana-4155 121 18 = = SYM cana-4155 121 19 ∏ ∏ NUM cana-4155 121 20 𝐹𝐷𝐿(𝑙𝑛|𝐡𝑛 𝐹𝐷𝐿(𝑙𝑛|𝐡𝑛 NOUN cana-4155 121 21 , , PUNCT cana-4155 121 22 𝐡)𝑔 𝐡)𝑔 NOUN cana-4155 121 23 𝑛=1 𝑛=1 NOUN cana-4155 121 24 ) ) PUNCT cana-4155 121 25 ( ( PUNCT cana-4155 121 26 2 2 X cana-4155 121 27 ) ) PUNCT cana-4155 121 28 by by ADP cana-4155 121 29 bayesian bayesian NOUN cana-4155 121 30 modeling modeling NOUN cana-4155 121 31 , , PUNCT cana-4155 121 32 fcp fcp PROPN cana-4155 121 33 is be AUX cana-4155 121 34 used use VERB cana-4155 121 35 to to PART cana-4155 121 36 replicate replicate VERB cana-4155 121 37 the the DET cana-4155 121 38 performance performance NOUN cana-4155 121 39 of of ADP cana-4155 121 40 fuzzy fuzzy ADJ cana-4155 121 41 c c NOUN cana-4155 121 42 - - PUNCT cana-4155 121 43 means means NOUN cana-4155 121 44 ( ( PUNCT cana-4155 121 45 fcm fcm PROPN cana-4155 121 46 ) ) PUNCT cana-4155 121 47 . . PUNCT cana-4155 122 1 the the DET cana-4155 122 2 equation equation NOUN cana-4155 122 3 2 2 NUM cana-4155 122 4 is be AUX cana-4155 122 5 represented represent VERB cana-4155 122 6 below below ADP cana-4155 122 7 : : PUNCT cana-4155 122 8 communications communication NOUN cana-4155 122 9 on on ADP cana-4155 122 10 applied apply VERB cana-4155 122 11 nonlinear nonlinear ADJ cana-4155 122 12 analysis analysis NOUN cana-4155 122 13 issn issn NOUN cana-4155 122 14 : : PUNCT cana-4155 122 15 1074 1074 NUM cana-4155 122 16 - - PUNCT cana-4155 122 17 133x 133x NUM cana-4155 122 18 vol vol NOUN cana-4155 122 19 32 32 NUM cana-4155 122 20 no no NOUN cana-4155 122 21 . . PUNCT cana-4155 123 1 9s 9s NUM cana-4155 123 2 ( ( PUNCT cana-4155 123 3 2025 2025 NUM cana-4155 123 4 ) ) PUNCT cana-4155 123 5 1380 1380 NUM cana-4155 123 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 124 1 it it PRON cana-4155 124 2 is be AUX cana-4155 124 3 particularly particularly ADV cana-4155 124 4 useful useful ADJ cana-4155 124 5 for for ADP cana-4155 124 6 images image NOUN cana-4155 124 7 of of ADP cana-4155 124 8 brain brain NOUN cana-4155 124 9 tumors tumor NOUN cana-4155 124 10 , , PUNCT cana-4155 124 11 which which PRON cana-4155 124 12 can can AUX cana-4155 124 13 have have VERB cana-4155 124 14 complex complex ADJ cana-4155 124 15 structures structure NOUN cana-4155 124 16 of of ADP cana-4155 124 17 varying vary VERB cana-4155 124 18 sizes size NOUN cana-4155 124 19 . . PUNCT cana-4155 125 1 non non ADJ cana-4155 125 2 - - ADJ cana-4155 125 3 local local ADJ cana-4155 125 4 means mean NOUN cana-4155 125 5 reduces reduce VERB cana-4155 125 6 noise noise NOUN cana-4155 125 7 in in ADP cana-4155 125 8 medical medical ADJ cana-4155 125 9 images image NOUN cana-4155 125 10 while while SCONJ cana-4155 125 11 retaining retain VERB cana-4155 125 12 important important ADJ cana-4155 125 13 details detail NOUN cana-4155 125 14 . . PUNCT cana-4155 126 1 it it PRON cana-4155 126 2 improves improve VERB cana-4155 126 3 the the DET cana-4155 126 4 clarity clarity NOUN cana-4155 126 5 of of ADP cana-4155 126 6 tumor tumor NOUN cana-4155 126 7 boundaries boundary NOUN cana-4155 126 8 and and CCONJ cana-4155 126 9 other other ADJ cana-4155 126 10 important important ADJ cana-4155 126 11 features feature NOUN cana-4155 126 12 , , PUNCT cana-4155 126 13 enabling enable VERB cana-4155 126 14 accurate accurate ADJ cana-4155 126 15 diagnosis diagnosis NOUN cana-4155 126 16 and and CCONJ cana-4155 126 17 analysis analysis NOUN cana-4155 126 18 . . PUNCT cana-4155 127 1 3.3 3.3 NUM cana-4155 127 2 resnet50 resnet50 NOUN cana-4155 127 3 feature feature NOUN cana-4155 127 4 extraction extraction NOUN cana-4155 127 5 resnet50 resnet50 NOUN cana-4155 127 6 is be AUX cana-4155 127 7 one one NUM cana-4155 127 8 of of ADP cana-4155 127 9 the the DET cana-4155 127 10 dl dl PROPN cana-4155 127 11 architectures architecture NOUN cana-4155 127 12 , , PUNCT cana-4155 127 13 for for ADP cana-4155 127 14 solving solve VERB cana-4155 127 15 image image NOUN cana-4155 127 16 classification classification NOUN cana-4155 127 17 problems problem NOUN cana-4155 127 18 and and CCONJ cana-4155 127 19 it it PRON cana-4155 127 20 is be AUX cana-4155 127 21 based base VERB cana-4155 127 22 on on ADP cana-4155 127 23 concept concept NOUN cana-4155 127 24 . . PUNCT cana-4155 128 1 it it PRON cana-4155 128 2 is be AUX cana-4155 128 3 a a DET cana-4155 128 4 family family NOUN cana-4155 128 5 of of ADP cana-4155 128 6 models model NOUN cana-4155 128 7 that that PRON cana-4155 128 8 were be AUX cana-4155 128 9 developed develop VERB cana-4155 128 10 to to PART cana-4155 128 11 mitigate mitigate VERB cana-4155 128 12 the the DET cana-4155 128 13 vanishing vanish VERB cana-4155 128 14 gradient gradient NOUN cana-4155 128 15 issue issue NOUN cana-4155 128 16 , , PUNCT cana-4155 128 17 which which PRON cana-4155 128 18 commonly commonly ADV cana-4155 128 19 occurs occur VERB cana-4155 128 20 in in ADP cana-4155 128 21 deep deep ADJ cana-4155 128 22 networks network NOUN cana-4155 128 23 , , PUNCT cana-4155 128 24 enabling enable VERB cana-4155 128 25 extremely extremely ADV cana-4155 128 26 deep deep ADJ cana-4155 128 27 architectures architecture NOUN cana-4155 128 28 to to PART cana-4155 128 29 be be AUX cana-4155 128 30 constructed construct VERB cana-4155 128 31 without without ADP cana-4155 128 32 hurting hurt VERB cana-4155 128 33 performance performance NOUN cana-4155 128 34 . . PUNCT cana-4155 129 1 f(x)= f(x)= NOUN cana-4155 129 2 { { PUNCT cana-4155 129 3 𝑦 𝑦 NOUN cana-4155 129 4 = = SYM cana-4155 129 5 1 1 NUM cana-4155 129 6 𝑖𝑓 𝑖𝑓 ADP cana-4155 129 7 βˆ‘ βˆ‘ PROPN cana-4155 129 8 𝑀𝑖π‘₯𝑖 𝑀𝑖π‘₯𝑖 PROPN cana-4155 129 9 β‰₯ β‰₯ NOUN cana-4155 129 10 𝑏𝑛 𝑏𝑛 ADP cana-4155 129 11 π‘–βˆ’1 π‘–βˆ’1 PROPN cana-4155 129 12 𝑦 𝑦 NOUN cana-4155 129 13 = = SYM cana-4155 129 14 0 0 NUM cana-4155 129 15 π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ NOUN cana-4155 129 16 where where SCONJ cana-4155 129 17 the the DET cana-4155 129 18 logistic logistic ADJ cana-4155 129 19 initiate initiate NOUN cana-4155 129 20 of of ADP cana-4155 129 21 the the DET cana-4155 129 22 neuron neuron NOUN cana-4155 129 23 is be AUX cana-4155 129 24 completed complete VERB cana-4155 129 25 with with ADP cana-4155 129 26 feature feature NOUN cana-4155 129 27 transient transient ADJ cana-4155 129 28 values value NOUN cana-4155 129 29 and and CCONJ cana-4155 129 30 f(x f(x NOUN cana-4155 129 31 ) ) PUNCT cana-4155 129 32 remains remain VERB cana-4155 129 33 ft𝑀(𝑑+1 ft𝑀(𝑑+1 NOUN cana-4155 129 34 ) ) PUNCT cana-4155 129 35 = = PUNCT cana-4155 130 1 𝑀𝑑 𝑀𝑑 VERB cana-4155 130 2 βˆ’ βˆ’ PROPN cana-4155 130 3 β„• β„• PROPN cana-4155 130 4 β–³ β–³ X cana-4155 130 5 𝑀𝑑 𝑀𝑑 NOUN cana-4155 130 6 and and CCONJ cana-4155 130 7 𝑏(𝑑+1 𝑏(𝑑+1 NOUN cana-4155 130 8 ) ) PUNCT cana-4155 131 1 = = PUNCT cana-4155 131 2 𝑏𝑑 𝑏𝑑 ADP cana-4155 131 3 βˆ’ βˆ’ PROPN cana-4155 131 4 β„• β„• PROPN cana-4155 131 5 β–³ β–³ PROPN cana-4155 131 6 𝑏𝑑. 𝑏𝑑. NOUN cana-4155 131 7 𝑛𝑒𝑑𝑖(𝑑 𝑛𝑒𝑑𝑖(𝑑 NUM cana-4155 131 8 ) ) PUNCT cana-4155 131 9 = = PUNCT cana-4155 131 10 βˆ‘ βˆ‘ PUNCT cana-4155 131 11 𝑀𝑖𝑗𝑦𝑗(𝑑 𝑀𝑖𝑗𝑦𝑗(𝑑 PROPN cana-4155 131 12 ) ) PUNCT cana-4155 131 13 + + CCONJ cana-4155 131 14 π‘₯𝑖(𝑑 π‘₯𝑖(𝑑 NUM cana-4155 131 15 ) ) PUNCT cana-4155 131 16 , , PUNCT cana-4155 131 17 𝑖 𝑖 SYM cana-4155 131 18 = = SYM cana-4155 131 19 1 1 NUM cana-4155 131 20 … … PUNCT cana-4155 131 21 𝑗 𝑗 PRON cana-4155 131 22 𝑗 𝑗 INTJ cana-4155 131 23 𝑗=1 𝑗=1 X cana-4155 131 24 and𝑇𝑖 and𝑇𝑖 NOUN cana-4155 131 25 𝑑𝑦(𝑑 𝑑𝑦(𝑑 PUNCT cana-4155 131 26 ) ) PUNCT cana-4155 131 27 𝑑𝑑 𝑑𝑑 ADP cana-4155 131 28 = = PUNCT cana-4155 131 29 -𝑦𝑖(𝑑 -𝑦𝑖(𝑑 PROPN cana-4155 131 30 ) ) PUNCT cana-4155 131 31 + + NUM cana-4155 131 32 πœ‘(𝑛𝑒𝑑𝑖 πœ‘(𝑛𝑒𝑑𝑖 ADV cana-4155 131 33 ) ) PUNCT cana-4155 131 34 𝑖 𝑖 SYM cana-4155 132 1 = = SYM cana-4155 132 2 1 1 NUM cana-4155 132 3 … … PUNCT cana-4155 132 4 𝑗 𝑗 NOUN cana-4155 132 5 to to PART cana-4155 132 6 get get VERB cana-4155 132 7 the the DET cana-4155 132 8 real real ADJ cana-4155 132 9 weight weight NOUN cana-4155 132 10 w(i w(i PROPN cana-4155 132 11 ) ) PUNCT cana-4155 132 12 for for ADP cana-4155 132 13 building build VERB cana-4155 132 14 the the DET cana-4155 132 15 convolution convolution NOUN cana-4155 132 16 layer layer NOUN cana-4155 132 17 , , PUNCT cana-4155 132 18 the the DET cana-4155 132 19 consistent consistent NOUN cana-4155 132 20 Ο„i Ο„i NOUN cana-4155 132 21 is be AUX cana-4155 132 22 one one NUM cana-4155 132 23 - - PUNCT cana-4155 132 24 sided sided ADJ cana-4155 132 25 with with ADP cana-4155 132 26 regular regular ADJ cana-4155 132 27 neurons neuron NOUN cana-4155 132 28 to to PART cana-4155 132 29 convey convey VERB cana-4155 132 30 the the DET cana-4155 132 31 test test NOUN cana-4155 132 32 weight weight NOUN cana-4155 132 33 in in ADP cana-4155 132 34 net net ADJ cana-4155 132 35 evaluation evaluation NOUN cana-4155 132 36 . . PUNCT cana-4155 133 1 3.4 3.4 NUM cana-4155 133 2 optimized optimize VERB cana-4155 133 3 weighting weighting NOUN cana-4155 133 4 - - PUNCT cana-4155 133 5 based base VERB cana-4155 133 6 neural neural ADJ cana-4155 133 7 network network NOUN cana-4155 133 8 ( ( PUNCT cana-4155 133 9 ofwn2 ofwn2 PROPN cana-4155 133 10 ) ) PUNCT cana-4155 133 11 in in ADP cana-4155 133 12 this this DET cana-4155 133 13 section section NOUN cana-4155 133 14 , , PUNCT cana-4155 133 15 cancer cancer NOUN cana-4155 133 16 and and CCONJ cana-4155 133 17 non non ADJ cana-4155 133 18 - - ADJ cana-4155 133 19 cancer cancer ADJ cana-4155 133 20 patients patient NOUN cana-4155 133 21 can can AUX cana-4155 133 22 be be AUX cana-4155 133 23 classified classify VERB cana-4155 133 24 based base VERB cana-4155 133 25 on on ADP cana-4155 133 26 selected select VERB cana-4155 133 27 characteristics characteristic NOUN cana-4155 133 28 to to PART cana-4155 133 29 improve improve VERB cana-4155 133 30 accuracy accuracy NOUN cana-4155 133 31 using use VERB cana-4155 133 32 the the DET cana-4155 133 33 ofwn2method ofwn2method NOUN cana-4155 133 34 . . PUNCT cana-4155 134 1 additionally additionally ADV cana-4155 134 2 , , PUNCT cana-4155 134 3 each each PRON cana-4155 134 4 characteristic characteristic ADJ cana-4155 134 5 with with ADP cana-4155 134 6 the the DET cana-4155 134 7 least least ADJ cana-4155 134 8 amount amount NOUN cana-4155 134 9 of of ADP cana-4155 134 10 redundancy redundancy NOUN cana-4155 134 11 is be AUX cana-4155 134 12 given give VERB cana-4155 134 13 the the DET cana-4155 134 14 highest high ADJ cana-4155 134 15 likelihood likelihood NOUN cana-4155 134 16 weight weight NOUN cana-4155 134 17 in in ADP cana-4155 134 18 order order NOUN cana-4155 134 19 to to PART cana-4155 134 20 compute compute VERB cana-4155 134 21 a a DET cana-4155 134 22 weighted weighted ADJ cana-4155 134 23 total total NOUN cana-4155 134 24 . . PUNCT cana-4155 135 1 a a DET cana-4155 135 2 conditional conditional ADJ cana-4155 135 3 statement statement NOUN cana-4155 135 4 then then ADV cana-4155 135 5 checks check VERB cana-4155 135 6 to to PART cana-4155 135 7 see see VERB cana-4155 135 8 if if SCONJ cana-4155 135 9 the the DET cana-4155 135 10 weighted weight VERB cana-4155 135 11 sum sum NOUN cana-4155 135 12 is be AUX cana-4155 135 13 equal equal ADJ cana-4155 135 14 to to ADP cana-4155 135 15 or or CCONJ cana-4155 135 16 less less ADJ cana-4155 135 17 than than ADP cana-4155 135 18 the the DET cana-4155 135 19 ideal ideal ADJ cana-4155 135 20 weight weight NOUN cana-4155 135 21 . . PUNCT cana-4155 136 1 the the DET cana-4155 136 2 weighted weight VERB cana-4155 136 3 sum sum NOUN cana-4155 136 4 value value NOUN cana-4155 136 5 for for ADP cana-4155 136 6 failed fail VERB cana-4155 136 7 trials trial NOUN cana-4155 136 8 is be AUX cana-4155 136 9 obtained obtain VERB cana-4155 136 10 using use VERB cana-4155 136 11 various various ADJ cana-4155 136 12 initialization initialization NOUN cana-4155 136 13 weights weight NOUN cana-4155 136 14 . . PUNCT cana-4155 137 1 utilizing utilize VERB cana-4155 137 2 the the DET cana-4155 137 3 ofwn2method ofwn2method NOUN cana-4155 137 4 to to PART cana-4155 137 5 measure measure VERB cana-4155 137 6 weak weak ADJ cana-4155 137 7 classifiers classifier NOUN cana-4155 137 8 with with ADP cana-4155 137 9 minor minor ADJ cana-4155 137 10 weight weight NOUN cana-4155 137 11 errors error NOUN cana-4155 137 12 has have AUX cana-4155 137 13 been be AUX cana-4155 137 14 shown show VERB cana-4155 137 15 to to PART cana-4155 137 16 enhance enhance VERB cana-4155 137 17 the the DET cana-4155 137 18 accuracy accuracy NOUN cana-4155 137 19 of of ADP cana-4155 137 20 brain brain NOUN cana-4155 137 21 tumor tumor NOUN cana-4155 137 22 detection detection NOUN cana-4155 137 23 . . PUNCT cana-4155 138 1 algorithm algorithm NOUN cana-4155 138 2 2 2 NUM cana-4155 138 3 : : PUNCT cana-4155 138 4 ofwn2 ofwn2 NOUN cana-4155 138 5 input input NOUN cana-4155 138 6 : : PUNCT cana-4155 138 7 update update VERB cana-4155 138 8 weight weight NOUN cana-4155 138 9 x x PUNCT cana-4155 138 10 output output NOUN cana-4155 138 11 : : PUNCT cana-4155 138 12 enhancing enhance VERB cana-4155 138 13 the the DET cana-4155 138 14 diagnostic diagnostic ADJ cana-4155 138 15 accuracy accuracy NOUN cana-4155 138 16 of of ADP cana-4155 138 17 brain brain NOUN cana-4155 138 18 tumor tumor NOUN cana-4155 138 19 π‘‡π‘Ÿ π‘‡π‘Ÿ PROPN cana-4155 138 20 begin begin VERB cana-4155 138 21 initialize initialize NOUN cana-4155 138 22 ←t ←t VERB cana-4155 138 23 for for SCONJ cana-4155 138 24 each each DET cana-4155 138 25 π‘†π“ˆ π‘†π“ˆ PROPN cana-4155 138 26 ← ← PROPN cana-4155 138 27 𝑀 𝑀 PART cana-4155 138 28 measure measure VERB cana-4155 138 29 𝒯𝓇 𝒯𝓇 PROPN cana-4155 138 30 ifπ‘‡π‘Ÿ ifπ‘‡π‘Ÿ PROPN cana-4155 138 31 ≀ ≀ PROPN cana-4155 138 32 𝛽 𝛽 PROPN cana-4155 138 33 , , PUNCT cana-4155 138 34 then then ADV cana-4155 138 35 compute compute VERB cana-4155 138 36 the the DET cana-4155 138 37 weakest weak ADJ cana-4155 138 38 classifier classifier NOUN cana-4155 138 39 with with ADP cana-4155 138 40 the the DET cana-4155 138 41 low low ADJ cana-4155 138 42 weight weight NOUN cana-4155 138 43 error← error← PROPN cana-4155 138 44 β„°π‘Ž β„°π‘Ž PROPN cana-4155 138 45 compute compute VERB cana-4155 138 46 the the DET cana-4155 138 47 error error NOUN cana-4155 138 48 function function NOUN cana-4155 138 49 ← ← PROPN cana-4155 138 50 𝑀𝒢 𝑀𝒢 NOUN cana-4155 138 51 evaluate evaluate VERB cana-4155 138 52 all all DET cana-4155 138 53 weak weak ADJ cana-4155 138 54 classifiers classifier NOUN cana-4155 138 55 in in ADP cana-4155 138 56 combination combination NOUN cana-4155 138 57 with with ADP cana-4155 138 58 optimal optimal ADJ cana-4155 138 59 weights← weights← PROPN cana-4155 138 60 𝐸(π‘‘π‘Ÿ 𝐸(π‘‘π‘Ÿ NOUN cana-4155 138 61 ) ) PUNCT cana-4155 138 62 communications communication NOUN cana-4155 138 63 on on ADP cana-4155 138 64 applied apply VERB cana-4155 138 65 nonlinear nonlinear ADJ cana-4155 138 66 analysis analysis NOUN cana-4155 138 67 issn issn NOUN cana-4155 138 68 : : PUNCT cana-4155 138 69 1074 1074 NUM cana-4155 138 70 - - PUNCT cana-4155 138 71 133x 133x NUM cana-4155 138 72 vol vol NOUN cana-4155 138 73 32 32 NUM cana-4155 138 74 no no NOUN cana-4155 138 75 . . PUNCT cana-4155 139 1 9s 9s NUM cana-4155 139 2 ( ( PUNCT cana-4155 139 3 2025 2025 NUM cana-4155 139 4 ) ) PUNCT cana-4155 139 5 1381 1381 NUM cana-4155 140 1 https://internationalpubls.com https://internationalpubls.com X cana-4155 140 2 end end VERB cana-4155 140 3 if if SCONJ cana-4155 140 4 else else ADV cana-4155 140 5 𝑅 𝑅 PROPN cana-4155 140 6 > > X cana-4155 140 7 𝛽 𝛽 PROPN cana-4155 140 8 repeat repeat NOUN cana-4155 140 9 step step NOUN cana-4155 140 10 4 4 NUM cana-4155 140 11 end end NOUN cana-4155 140 12 for for ADP cana-4155 140 13 each each DET cana-4155 140 14 end end NOUN cana-4155 140 15 the the DET cana-4155 140 16 ofwn2method ofwn2method NOUN cana-4155 140 17 combined combine VERB cana-4155 140 18 classification classification NOUN cana-4155 140 19 algorithm algorithm NOUN cana-4155 140 20 is be AUX cana-4155 140 21 introduced introduce VERB cana-4155 140 22 to to PART cana-4155 140 23 classify classify VERB cana-4155 140 24 brain brain NOUN cana-4155 140 25 tumor tumor NOUN cana-4155 140 26 accurately accurately ADV cana-4155 140 27 diagnoses diagnose VERB cana-4155 140 28 with with ADP cana-4155 140 29 minimal minimal ADJ cana-4155 140 30 error error NOUN cana-4155 140 31 , , PUNCT cana-4155 140 32 as as SCONJ cana-4155 140 33 demonstrated demonstrate VERB cana-4155 140 34 in in ADP cana-4155 140 35 algorithm algorithm NOUN cana-4155 140 36 2 2 NUM cana-4155 140 37 . . PUNCT cana-4155 140 38 where where SCONJ cana-4155 140 39 π‘Ÿ π‘Ÿ X cana-4155 140 40 βˆ’ βˆ’ PROPN cana-4155 140 41 sum sum NOUN cana-4155 140 42 , , PUNCT cana-4155 140 43 𝒯𝓇 𝒯𝓇 PROPN cana-4155 140 44 βˆ’ βˆ’ PROPN cana-4155 140 45 redundant redundant ADJ cana-4155 140 46 attributes attribute NOUN cana-4155 140 47 , , PUNCT cana-4155 140 48 w w NOUN cana-4155 140 49 - - PUNCT cana-4155 140 50 iteration iteration NOUN cana-4155 140 51 , , PUNCT cana-4155 140 52 𝛽 𝛽 NOUN cana-4155 140 53 βˆ’optimal βˆ’optimal ADJ cana-4155 140 54 weight weight NOUN cana-4155 140 55 , , PUNCT cana-4155 140 56 π‘‡π‘Ÿ π‘‡π‘Ÿ PROPN cana-4155 140 57 βˆ’weighted βˆ’weighte VERB cana-4155 140 58 sum sum NOUN cana-4155 140 59 , , PUNCT cana-4155 141 1 β„°π‘Ž β„°π‘Ž PROPN cana-4155 141 2 βˆ’weight βˆ’weight VERB cana-4155 141 3 error error NOUN cana-4155 141 4 , , PUNCT cana-4155 141 5 𝑀𝒢 𝑀𝒢 PROPN cana-4155 141 6 βˆ’error βˆ’error NOUN cana-4155 141 7 function function NOUN cana-4155 141 8 , , PUNCT cana-4155 141 9 𝐸(π‘‘π‘Ÿ 𝐸(π‘‘π‘Ÿ NOUN cana-4155 141 10 ) ) PUNCT cana-4155 141 11 βˆ’optimal βˆ’optimal VERB cana-4155 141 12 weight weight NOUN cana-4155 141 13 . . PUNCT cana-4155 142 1 3.5 3.5 NUM cana-4155 142 2 soft soft ADJ cana-4155 142 3 max max NOUN cana-4155 142 4 activation activation NOUN cana-4155 142 5 function function VERB cana-4155 142 6 cnn cnn PROPN cana-4155 142 7 method method NOUN cana-4155 142 8 use use VERB cana-4155 142 9 this this DET cana-4155 142 10 step step NOUN cana-4155 142 11 to to PART cana-4155 142 12 optimize optimize VERB cana-4155 142 13 and and CCONJ cana-4155 142 14 weigh weigh VERB cana-4155 142 15 extracted extract VERB cana-4155 142 16 features feature NOUN cana-4155 142 17 for for ADP cana-4155 142 18 better well ADJ cana-4155 142 19 classification classification NOUN cana-4155 142 20 . . PUNCT cana-4155 143 1 with with ADP cana-4155 143 2 the the DET cana-4155 143 3 softmax softmax NOUN cana-4155 143 4 activation activation NOUN cana-4155 143 5 function function NOUN cana-4155 143 6 , , PUNCT cana-4155 143 7 the the DET cana-4155 143 8 logical logical ADJ cana-4155 143 9 condition condition NOUN cana-4155 143 10 to to PART cana-4155 143 11 select select VERB cana-4155 143 12 the the DET cana-4155 143 13 features feature NOUN cana-4155 143 14 linked link VERB cana-4155 143 15 with with ADP cana-4155 143 16 creature creature ADJ cana-4155 143 17 margins margin NOUN cana-4155 143 18 that that PRON cana-4155 143 19 fit fit ADJ cana-4155 143 20 tumor tumor NOUN cana-4155 143 21 threshold threshold NOUN cana-4155 143 22 values value NOUN cana-4155 143 23 is be AUX cana-4155 143 24 established establish VERB cana-4155 143 25 . . PUNCT cana-4155 144 1 feature feature NOUN cana-4155 144 2 selection selection NOUN cana-4155 144 3 is be AUX cana-4155 144 4 carried carry VERB cana-4155 144 5 out out ADP cana-4155 144 6 and and CCONJ cana-4155 144 7 the the DET cana-4155 144 8 convolution convolution NOUN cana-4155 144 9 layer layer NOUN cana-4155 144 10 is be AUX cana-4155 144 11 iterated iterate VERB cana-4155 144 12 to to PART cana-4155 144 13 ascertain ascertain VERB cana-4155 144 14 logical logical ADJ cana-4155 144 15 judgments judgment NOUN cana-4155 144 16 . . PUNCT cana-4155 145 1 during during ADP cana-4155 145 2 the the DET cana-4155 145 3 testing testing NOUN cana-4155 145 4 phase phase NOUN cana-4155 145 5 , , PUNCT cana-4155 145 6 the the DET cana-4155 145 7 actuator actuator NOUN cana-4155 145 8 reaches reach VERB cana-4155 145 9 the the DET cana-4155 145 10 threshold threshold NOUN cana-4155 145 11 weights weight NOUN cana-4155 145 12 to to PART cana-4155 145 13 select select VERB cana-4155 145 14 the the DET cana-4155 145 15 feature feature NOUN cana-4155 145 16 weights weight NOUN cana-4155 145 17 . . PUNCT cana-4155 146 1 the the DET cana-4155 146 2 training training NOUN cana-4155 146 3 function function NOUN cana-4155 146 4 , , PUNCT cana-4155 146 5 which which PRON cana-4155 146 6 comes come VERB cana-4155 146 7 after after ADP cana-4155 146 8 the the DET cana-4155 146 9 feed feed NOUN cana-4155 146 10 - - PUNCT cana-4155 146 11 forward forward NOUN cana-4155 146 12 layer layer NOUN cana-4155 146 13 , , PUNCT cana-4155 146 14 begins begin VERB cana-4155 146 15 with with ADP cana-4155 146 16 neurone neurone NOUN cana-4155 146 17 weights weight NOUN cana-4155 146 18 before before SCONJ cana-4155 146 19 the the DET cana-4155 146 20 classifier classifier NOUN cana-4155 146 21 reaches reach VERB cana-4155 146 22 classification classification NOUN cana-4155 146 23 . . PUNCT cana-4155 147 1 𝜎(𝑔)π‘₯ 𝜎(𝑔)π‘₯ ADJ cana-4155 147 2 = = SYM cana-4155 147 3 𝑒𝑔π‘₯ 𝑒𝑔π‘₯ PROPN cana-4155 147 4 βˆ‘ βˆ‘ PUNCT cana-4155 147 5 𝑒𝑔𝑦𝑁 𝑒𝑔𝑦𝑁 ADJ cana-4155 147 6 𝑦=1 𝑦=1 X cana-4155 147 7 ( ( PUNCT cana-4155 147 8 3 3 NUM cana-4155 147 9 ) ) PUNCT cana-4155 147 10 here here ADV cana-4155 147 11 , , PUNCT cana-4155 147 12 𝑔π‘₯ 𝑔π‘₯ PROPN cana-4155 147 13 is be AUX cana-4155 147 14 referred refer VERB cana-4155 147 15 to to ADP cana-4155 147 16 as as ADP cana-4155 147 17 the the DET cana-4155 147 18 output output NOUN cana-4155 147 19 logits logit NOUN cana-4155 147 20 . . PUNCT cana-4155 148 1 it it PRON cana-4155 148 2 assesses assess VERB cana-4155 148 3 the the DET cana-4155 148 4 distinction distinction NOUN cana-4155 148 5 among among ADP cana-4155 148 6 the the DET cana-4155 148 7 predicted predict VERB cana-4155 148 8 probability probability NOUN cana-4155 148 9 distribution distribution NOUN cana-4155 148 10 𝑗̂ 𝑗̂ NOUN cana-4155 148 11 and and CCONJ cana-4155 148 12 the the DET cana-4155 148 13 true true ADJ cana-4155 148 14 distribution distribution NOUN cana-4155 148 15 𝑗. 𝑗. NOUN cana-4155 148 16 the the DET cana-4155 148 17 heavy heavy ADJ cana-4155 148 18 design design NOUN cana-4155 148 19 of of ADP cana-4155 148 20 resnet50 resnet50 NOUN cana-4155 148 21 makes make VERB cana-4155 148 22 it it PRON cana-4155 148 23 a a DET cana-4155 148 24 good good ADJ cana-4155 148 25 fit fit NOUN cana-4155 148 26 for for ADP cana-4155 148 27 applications application NOUN cana-4155 148 28 like like ADP cana-4155 148 29 image image NOUN cana-4155 148 30 recognition recognition NOUN cana-4155 148 31 , , PUNCT cana-4155 148 32 object object VERB cana-4155 148 33 detection detection NOUN cana-4155 148 34 or or CCONJ cana-4155 148 35 segmentation segmentation NOUN cana-4155 148 36 by by ADP cana-4155 148 37 giving give VERB cana-4155 148 38 state state NOUN cana-4155 148 39 - - PUNCT cana-4155 148 40 of of ADP cana-4155 148 41 - - PUNCT cana-4155 148 42 the the DET cana-4155 148 43 - - PUNCT cana-4155 148 44 art art NOUN cana-4155 148 45 performance performance NOUN cana-4155 148 46 with with ADP cana-4155 148 47 high high ADJ cana-4155 148 48 accuracy accuracy NOUN cana-4155 148 49 . . PUNCT cana-4155 149 1 we we PRON cana-4155 149 2 perform perform VERB cana-4155 149 3 the the DET cana-4155 149 4 conv2d conv2d ADJ cana-4155 149 5 operation operation NOUN cana-4155 149 6 this this PRON cana-4155 149 7 in in ADP cana-4155 149 8 the the DET cana-4155 149 9 equation equation NOUN cana-4155 149 10 3 3 NUM cana-4155 149 11 . . PUNCT cana-4155 150 1 ( ( PUNCT cana-4155 150 2 𝑋 𝑋 NOUN cana-4155 150 3 βˆ— βˆ— NOUN cana-4155 150 4 𝑃)π‘₯,𝑦 𝑃)π‘₯,𝑦 X cana-4155 150 5 = = SYM cana-4155 150 6 βˆ‘ βˆ‘ PROPN cana-4155 150 7 βˆ‘ βˆ‘ PART cana-4155 150 8 𝑋[π‘₯ 𝑋[π‘₯ PROPN cana-4155 150 9 + + CCONJ cana-4155 150 10 π‘ž π‘ž PROPN cana-4155 150 11 , , PUNCT cana-4155 150 12 𝑦 𝑦 NOUN cana-4155 150 13 + + X cana-4155 150 14 𝑛]𝑛 𝑛]𝑛 ADJ cana-4155 150 15 . . PUNCT cana-4155 151 1 𝑃[π‘ž 𝑃[π‘ž PROPN cana-4155 151 2 , , PUNCT cana-4155 151 3 𝑛]π‘ž 𝑛]π‘ž PROPN cana-4155 151 4 ( ( PUNCT cana-4155 151 5 4 4 NUM cana-4155 151 6 ) ) PUNCT cana-4155 151 7 here here ADV cana-4155 151 8 , , PUNCT cana-4155 151 9 𝑋 𝑋 PROPN cana-4155 151 10 is be AUX cana-4155 151 11 the the DET cana-4155 151 12 known know VERB cana-4155 151 13 input input NOUN cana-4155 151 14 image image NOUN cana-4155 151 15 , , PUNCT cana-4155 151 16 p p NOUN cana-4155 151 17 is be AUX cana-4155 151 18 the the DET cana-4155 151 19 filter filter NOUN cana-4155 151 20 , , PUNCT cana-4155 151 21 and and CCONJ cana-4155 151 22 π‘₯ π‘₯ NOUN cana-4155 151 23 , , PUNCT cana-4155 151 24 𝑦 𝑦 PRON cana-4155 151 25 are be AUX cana-4155 151 26 the the DET cana-4155 151 27 positions position NOUN cana-4155 151 28 . . PUNCT cana-4155 152 1 this this DET cana-4155 152 2 procedure procedure NOUN cana-4155 152 3 calculates calculate VERB cana-4155 152 4 a a DET cana-4155 152 5 weighted weighted ADJ cana-4155 152 6 sum sum NOUN cana-4155 152 7 of of ADP cana-4155 152 8 pixel pixel PROPN cana-4155 152 9 values value NOUN cana-4155 152 10 by by ADP cana-4155 152 11 sliding slide VERB cana-4155 152 12 a a DET cana-4155 152 13 filter filter NOUN cana-4155 152 14 across across ADP cana-4155 152 15 the the DET cana-4155 152 16 input input NOUN cana-4155 152 17 image image NOUN cana-4155 152 18 . . PUNCT cana-4155 153 1 it it PRON cana-4155 153 2 detects detect VERB cana-4155 153 3 spatial spatial ADJ cana-4155 153 4 hierarchies hierarchy NOUN cana-4155 153 5 of of ADP cana-4155 153 6 features feature NOUN cana-4155 153 7 in in ADP cana-4155 153 8 pictures picture NOUN cana-4155 153 9 . . PUNCT cana-4155 154 1 equation equation NOUN cana-4155 154 2 4 4 NUM cana-4155 154 3 illustrates illustrate VERB cana-4155 154 4 the the DET cana-4155 154 5 use use NOUN cana-4155 154 6 of of ADP cana-4155 154 7 an an DET cana-4155 154 8 activation activation NOUN cana-4155 154 9 function function NOUN cana-4155 154 10 typically typically ADV cana-4155 154 11 a a DET cana-4155 154 12 rectified rectified ADJ cana-4155 154 13 linear linear NOUN cana-4155 154 14 unit unit NOUN cana-4155 154 15 ( ( PUNCT cana-4155 154 16 relu relu NOUN cana-4155 154 17 ) ) PUNCT cana-4155 154 18 after after ADP cana-4155 154 19 every every DET cana-4155 154 20 convolution convolution NOUN cana-4155 154 21 . . PUNCT cana-4155 155 1 𝑓(𝑖 𝑓(𝑖 NOUN cana-4155 155 2 ) ) PUNCT cana-4155 155 3 = = PUNCT cana-4155 156 1 π‘šπ‘Žπ‘₯(0 π‘šπ‘Žπ‘₯(0 NOUN cana-4155 156 2 , , PUNCT cana-4155 156 3 π‘₯ π‘₯ NOUN cana-4155 156 4 ) ) PUNCT cana-4155 156 5 ( ( PUNCT cana-4155 156 6 5 5 X cana-4155 156 7 ) ) PUNCT cana-4155 156 8 this this DET cana-4155 156 9 equation equation NOUN cana-4155 156 10 ( ( PUNCT cana-4155 156 11 5 5 X cana-4155 156 12 ) ) PUNCT cana-4155 156 13 converts convert VERB cana-4155 156 14 all all DET cana-4155 156 15 negative negative ADJ cana-4155 156 16 pixel pixel ADJ cana-4155 156 17 values value NOUN cana-4155 156 18 to to ADP cana-4155 156 19 zero zero NUM cana-4155 156 20 , , PUNCT cana-4155 156 21 ensuring ensure VERB cana-4155 156 22 that that SCONJ cana-4155 156 23 the the DET cana-4155 156 24 network network NOUN cana-4155 156 25 learns learn VERB cana-4155 156 26 nonlinear nonlinear ADJ cana-4155 156 27 decision decision NOUN cana-4155 156 28 limits limit NOUN cana-4155 156 29 . . PUNCT cana-4155 157 1 we we PRON cana-4155 157 2 employ employ VERB cana-4155 157 3 the the DET cana-4155 157 4 pooling pooling NOUN cana-4155 157 5 layer layer NOUN cana-4155 157 6 in in ADP cana-4155 157 7 to to PART cana-4155 157 8 minimize minimize VERB cana-4155 157 9 the the DET cana-4155 157 10 spatial spatial ADJ cana-4155 157 11 dimension dimension NOUN cana-4155 157 12 of of ADP cana-4155 157 13 the the DET cana-4155 157 14 feature feature NOUN cana-4155 157 15 maps map NOUN cana-4155 157 16 . . PUNCT cana-4155 158 1 𝐺π‘₯,𝑦 𝐺π‘₯,𝑦 NOUN cana-4155 158 2 = = SYM cana-4155 158 3 π‘šπ‘Žπ‘₯(𝑋|π‘₯ π‘šπ‘Žπ‘₯(𝑋|π‘₯ NOUN cana-4155 158 4 , , PUNCT cana-4155 158 5 𝑗| 𝑗| PROPN cana-4155 158 6 ) ) PUNCT cana-4155 158 7 βˆ€π‘– βˆ€π‘– PROPN cana-4155 158 8 , , PUNCT cana-4155 158 9 𝑗 𝑗 PROPN cana-4155 158 10 ∈ ∈ PROPN cana-4155 158 11 𝐺 𝐺 NOUN cana-4155 158 12 ( ( PUNCT cana-4155 158 13 6 6 NUM cana-4155 158 14 ) ) PUNCT cana-4155 158 15 here here ADV cana-4155 158 16 , , PUNCT cana-4155 158 17 𝐺π‘₯,𝑦 𝐺π‘₯,𝑦 PROPN cana-4155 158 18 is be AUX cana-4155 158 19 the the DET cana-4155 158 20 spatial spatial ADJ cana-4155 158 21 dimension dimension NOUN cana-4155 158 22 of of ADP cana-4155 158 23 the the DET cana-4155 158 24 input input NOUN cana-4155 158 25 images image NOUN cana-4155 158 26 , , PUNCT cana-4155 158 27 and and CCONJ cana-4155 158 28 𝑖 𝑖 X cana-4155 158 29 , , PUNCT cana-4155 158 30 𝑗 𝑗 X cana-4155 158 31 are be AUX cana-4155 158 32 the the DET cana-4155 158 33 feature feature NOUN cana-4155 158 34 maps map NOUN cana-4155 158 35 . . PUNCT cana-4155 159 1 this this PRON cana-4155 159 2 down down ADV cana-4155 159 3 samples sample VERB cana-4155 159 4 the the DET cana-4155 159 5 input input NOUN cana-4155 159 6 , , PUNCT cana-4155 159 7 maintaining maintain VERB cana-4155 159 8 only only ADV cana-4155 159 9 the the DET cana-4155 159 10 largest large ADJ cana-4155 159 11 value value NOUN cana-4155 159 12 in in ADP cana-4155 159 13 a a DET cana-4155 159 14 region region NOUN cana-4155 159 15 , , PUNCT cana-4155 159 16 hence hence ADV cana-4155 159 17 reducing reduce VERB cana-4155 159 18 computational computational ADJ cana-4155 159 19 complexity complexity NOUN cana-4155 159 20 and and CCONJ cana-4155 159 21 overfitting overfitting NOUN cana-4155 159 22 . . PUNCT cana-4155 160 1 the the DET cana-4155 160 2 residual residual ADJ cana-4155 160 3 link link NOUN cana-4155 160 4 , , PUNCT cana-4155 160 5 which which PRON cana-4155 160 6 adds add VERB cana-4155 160 7 a a DET cana-4155 160 8 layer layer NOUN cana-4155 160 9 's 's PART cana-4155 160 10 input input NOUN cana-4155 160 11 to to ADP cana-4155 160 12 its its PRON cana-4155 160 13 output output NOUN cana-4155 160 14 , , PUNCT cana-4155 160 15 is be AUX cana-4155 160 16 an an DET cana-4155 160 17 important important ADJ cana-4155 160 18 resnet resnet NOUN cana-4155 160 19 component component NOUN cana-4155 160 20 . . PUNCT cana-4155 161 1 for for ADP cana-4155 161 2 an an DET cana-4155 161 3 input input NOUN cana-4155 161 4 i i PRON cana-4155 161 5 , , PUNCT cana-4155 161 6 a a DET cana-4155 161 7 residual residual ADJ cana-4155 161 8 block block NOUN cana-4155 161 9 computes compute NOUN cana-4155 161 10 in in ADP cana-4155 161 11 equation equation NOUN cana-4155 161 12 6 6 NUM cana-4155 161 13 . . PUNCT cana-4155 161 14 𝑗 𝑗 X cana-4155 161 15 = = PRON cana-4155 161 16 𝐹(π‘₯ 𝐹(π‘₯ PUNCT cana-4155 161 17 ) ) PUNCT cana-4155 161 18 + + CCONJ cana-4155 161 19 π‘₯ π‘₯ X cana-4155 161 20 ( ( PUNCT cana-4155 161 21 7 7 NUM cana-4155 161 22 ) ) PUNCT cana-4155 161 23 communications communication NOUN cana-4155 161 24 on on ADP cana-4155 161 25 applied apply VERB cana-4155 161 26 nonlinear nonlinear ADJ cana-4155 161 27 analysis analysis NOUN cana-4155 161 28 issn issn NOUN cana-4155 161 29 : : PUNCT cana-4155 161 30 1074 1074 NUM cana-4155 161 31 - - PUNCT cana-4155 161 32 133x 133x NUM cana-4155 161 33 vol vol NOUN cana-4155 161 34 32 32 NUM cana-4155 161 35 no no NOUN cana-4155 161 36 . . PUNCT cana-4155 162 1 9s 9s NUM cana-4155 162 2 ( ( PUNCT cana-4155 162 3 2025 2025 NUM cana-4155 162 4 ) ) PUNCT cana-4155 162 5 1382 1382 NUM cana-4155 162 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 162 7 here here ADV cana-4155 162 8 , , PUNCT cana-4155 162 9 𝐹(𝑖 𝐹(𝑖 NUM cana-4155 162 10 ) ) PUNCT cana-4155 162 11 represents represent VERB cana-4155 162 12 the the DET cana-4155 162 13 outcome outcome NOUN cana-4155 162 14 of of ADP cana-4155 162 15 a a DET cana-4155 162 16 sequence sequence NOUN cana-4155 162 17 of of ADP cana-4155 162 18 operations operation NOUN cana-4155 162 19 . . PUNCT cana-4155 163 1 inside inside ADP cana-4155 163 2 the the DET cana-4155 163 3 block block NOUN cana-4155 163 4 , , PUNCT cana-4155 163 5 and and CCONJ cana-4155 163 6 adding add VERB cana-4155 163 7 i i PRON cana-4155 163 8 improves improve VERB cana-4155 163 9 gradient gradient ADJ cana-4155 163 10 flow flow NOUN cana-4155 163 11 during during ADP cana-4155 163 12 backpropagation backpropagation NOUN cana-4155 163 13 . . PUNCT cana-4155 164 1 by by ADP cana-4155 164 2 following follow VERB cana-4155 164 3 in in ADP cana-4155 164 4 equation equation NOUN cana-4155 164 5 7 7 NUM cana-4155 164 6 , , PUNCT cana-4155 164 7 we we PRON cana-4155 164 8 normalize normalize VERB cana-4155 164 9 the the DET cana-4155 164 10 batch batch NOUN cana-4155 164 11 . . PUNCT cana-4155 165 1 οΏ½ οΏ½ PROPN cana-4155 165 2 Μ‚ Μ‚ NOUN cana-4155 165 3 οΏ½ οΏ½ NOUN cana-4155 165 4 π‘₯ π‘₯ NOUN cana-4155 165 5 = = SYM cana-4155 165 6 𝑖π‘₯βˆ’πœ‡ 𝑖π‘₯βˆ’πœ‡ NOUN cana-4155 165 7 √𝜎2+πœ– √𝜎2+πœ– X cana-4155 166 1 ( ( PUNCT cana-4155 166 2 8) 8) NUM cana-4155 166 3 this this DET cana-4155 166 4 equation equation NOUN cana-4155 166 5 ( ( PUNCT cana-4155 166 6 8) 8) NUM cana-4155 166 7 normalizes normalize VERB cana-4155 166 8 the the DET cana-4155 166 9 feature feature NOUN cana-4155 166 10 map map NOUN cana-4155 166 11 𝑖 𝑖 X cana-4155 166 12 βˆ’mean βˆ’mean NOUN cana-4155 166 13 πœ‡ πœ‡ ADV cana-4155 166 14 and and CCONJ cana-4155 166 15 / / PUNCT cana-4155 166 16 by by ADP cana-4155 166 17 the the DET cana-4155 166 18 standard standard ADJ cana-4155 166 19 deviation deviation NOUN cana-4155 166 20 𝜎 𝜎 PRON cana-4155 166 21 . . PUNCT cana-4155 167 1 this this PRON cana-4155 167 2 ensures ensure VERB cana-4155 167 3 that that SCONJ cana-4155 167 4 the the DET cana-4155 167 5 input input NOUN cana-4155 167 6 to to ADP cana-4155 167 7 each each DET cana-4155 167 8 layer layer NOUN cana-4155 167 9 is be AUX cana-4155 167 10 properly properly ADV cana-4155 167 11 scaled scale VERB cana-4155 167 12 . . PUNCT cana-4155 168 1 in in ADP cana-4155 168 2 classification classification NOUN cana-4155 168 3 , , PUNCT cana-4155 168 4 the the DET cana-4155 168 5 final final ADJ cana-4155 168 6 layer layer NOUN cana-4155 168 7 is be AUX cana-4155 168 8 commonly commonly ADV cana-4155 168 9 a a DET cana-4155 168 10 softmax softmax NOUN cana-4155 168 11 function function NOUN cana-4155 168 12 , , PUNCT cana-4155 168 13 which which PRON cana-4155 168 14 is be AUX cana-4155 168 15 computed compute VERB cana-4155 168 16 . . PUNCT cana-4155 169 1 it it PRON cana-4155 169 2 is be AUX cana-4155 169 3 used use VERB cana-4155 169 4 to to PART cana-4155 169 5 turn turn VERB cana-4155 169 6 raw raw ADJ cana-4155 169 7 scores score NOUN cana-4155 169 8 into into ADP cana-4155 169 9 probabilities probability NOUN cana-4155 169 10 . . PUNCT cana-4155 170 1 𝐿(𝑗 𝐿(𝑗 CCONJ cana-4155 170 2 , , PUNCT cana-4155 170 3 𝑗̂ 𝑗̂ PUNCT cana-4155 170 4 ) ) PUNCT cana-4155 170 5 = = SYM cana-4155 171 1 βˆ’ βˆ’ PROPN cana-4155 171 2 βˆ‘ βˆ‘ INTJ cana-4155 171 3 𝑗π‘₯ 𝑗π‘₯ ADP cana-4155 171 4 𝑁 𝑁 PROPN cana-4155 171 5 π‘₯=1 π‘₯=1 PROPN cana-4155 171 6 π‘™π‘œπ‘”(𝑗 π‘™π‘œπ‘”(𝑗 PROPN cana-4155 171 7 οΏ½ οΏ½ PROPN cana-4155 171 8 Μ‚ Μ‚ NOUN cana-4155 171 9 οΏ½ οΏ½ PROPN cana-4155 171 10 ) ) PUNCT cana-4155 171 11 this this PRON cana-4155 171 12 minimizes minimize VERB cana-4155 171 13 the the DET cana-4155 171 14 error error NOUN cana-4155 171 15 between between ADP cana-4155 171 16 the the DET cana-4155 171 17 predicted predict VERB cana-4155 171 18 and and CCONJ cana-4155 171 19 actual actual ADJ cana-4155 171 20 labels label NOUN cana-4155 171 21 , , PUNCT cana-4155 171 22 penalizing penalize VERB cana-4155 171 23 incorrect incorrect ADJ cana-4155 171 24 classifications classification NOUN cana-4155 171 25 but but CCONJ cana-4155 171 26 also also ADV cana-4155 171 27 coaching coach VERB cana-4155 171 28 the the DET cana-4155 171 29 model model NOUN cana-4155 171 30 during during ADP cana-4155 171 31 training training NOUN cana-4155 171 32 . . PUNCT cana-4155 172 1 the the DET cana-4155 172 2 loss loss NOUN cana-4155 172 3 is be AUX cana-4155 172 4 computed compute VERB cana-4155 172 5 and and CCONJ cana-4155 172 6 weight weight NOUN cana-4155 172 7 get get AUX cana-4155 172 8 updated update VERB cana-4155 172 9 with with ADP cana-4155 172 10 gradient gradient ADJ cana-4155 172 11 descent descent NOUN cana-4155 172 12 . . PUNCT cana-4155 173 1 4 4 X cana-4155 173 2 . . X cana-4155 173 3 experimental experimental ADJ cana-4155 173 4 setup setup NOUN cana-4155 173 5 a a DET cana-4155 173 6 number number NOUN cana-4155 173 7 of of ADP cana-4155 173 8 performance performance NOUN cana-4155 173 9 metrics metric NOUN cana-4155 173 10 used use VERB cana-4155 173 11 to to PART cana-4155 173 12 assess assess VERB cana-4155 173 13 the the DET cana-4155 173 14 suggested suggest VERB cana-4155 173 15 approach approach NOUN cana-4155 173 16 for for ADP cana-4155 173 17 brain brain NOUN cana-4155 173 18 tumor tumor NOUN cana-4155 173 19 identification identification NOUN cana-4155 173 20 are be AUX cana-4155 173 21 shown show VERB cana-4155 173 22 in in ADP cana-4155 173 23 this this DET cana-4155 173 24 section section NOUN cana-4155 173 25 . . PUNCT cana-4155 174 1 python python PROPN cana-4155 174 2 and and CCONJ cana-4155 174 3 the the DET cana-4155 174 4 anaconda anaconda NOUN cana-4155 174 5 tool tool NOUN cana-4155 174 6 are be AUX cana-4155 174 7 used use VERB cana-4155 174 8 to to PART cana-4155 174 9 implement implement VERB cana-4155 174 10 the the DET cana-4155 174 11 suggested suggest VERB cana-4155 174 12 approach approach NOUN cana-4155 174 13 for for ADP cana-4155 174 14 identifying identify VERB cana-4155 174 15 and and CCONJ cana-4155 174 16 categorizing categorize VERB cana-4155 174 17 normal normal ADJ cana-4155 174 18 and and CCONJ cana-4155 174 19 abnormal abnormal ADJ cana-4155 174 20 mri mri NOUN cana-4155 174 21 pictures picture NOUN cana-4155 174 22 on on ADP cana-4155 174 23 a a DET cana-4155 174 24 64 64 NUM cana-4155 174 25 - - PUNCT cana-4155 174 26 bit bit NOUN cana-4155 174 27 operating operate VERB cana-4155 174 28 system system NOUN cana-4155 174 29 with with ADP cana-4155 174 30 an an DET cana-4155 174 31 i5 i5 ADJ cana-4155 174 32 processor processor NOUN cana-4155 174 33 and and CCONJ cana-4155 174 34 8 8 NUM cana-4155 174 35 g.b g.b PROPN cana-4155 174 36 . . PROPN cana-4155 174 37 of of ADP cana-4155 174 38 ram ram PROPN cana-4155 174 39 . . PUNCT cana-4155 174 40 table table NOUN cana-4155 174 41 1 1 NUM cana-4155 174 42 : : PUNCT cana-4155 174 43 deployment deployment NOUN cana-4155 174 44 parameters parameter NOUN cana-4155 174 45 parameter parameter PROPN cana-4155 174 46 values value NOUN cana-4155 174 47 language language PROPN cana-4155 174 48 python python NOUN cana-4155 174 49 tool tool NOUN cana-4155 174 50 anaconda anaconda NOUN cana-4155 174 51 dataset dataset NOUN cana-4155 174 52 name name NOUN cana-4155 174 53 mri mri NOUN cana-4155 174 54 brain brain NOUN cana-4155 174 55 tumor tumor NOUN cana-4155 174 56 number number NOUN cana-4155 174 57 of of ADP cana-4155 174 58 images image NOUN cana-4155 174 59 500 500 NUM cana-4155 174 60 the the DET cana-4155 174 61 deployment deployment NOUN cana-4155 174 62 parameters parameter NOUN cana-4155 174 63 for for ADP cana-4155 174 64 the the DET cana-4155 174 65 detection detection NOUN cana-4155 174 66 of of ADP cana-4155 174 67 brain brain NOUN cana-4155 174 68 tumors tumor NOUN cana-4155 174 69 are be AUX cana-4155 174 70 described describe VERB cana-4155 174 71 in in ADP cana-4155 174 72 table table NOUN cana-4155 174 73 1 1 NUM cana-4155 174 74 . . PUNCT cana-4155 175 1 the the DET cana-4155 175 2 following following NOUN cana-4155 175 3 provides provide VERB cana-4155 175 4 a a DET cana-4155 175 5 detailed detailed ADJ cana-4155 175 6 view view NOUN cana-4155 175 7 of of ADP cana-4155 175 8 this this DET cana-4155 175 9 part part NOUN cana-4155 175 10 . . PUNCT cana-4155 176 1 4.1 4.1 NUM cana-4155 176 2 mri mri NOUN cana-4155 176 3 brain brain NOUN cana-4155 176 4 dataset dataset NOUN cana-4155 176 5 images image NOUN cana-4155 176 6 of of ADP cana-4155 176 7 mri mri NOUN cana-4155 176 8 brain brain NOUN cana-4155 176 9 tumors tumor NOUN cana-4155 176 10 gathered gather VERB cana-4155 176 11 from from ADP cana-4155 176 12 the the DET cana-4155 176 13 online online ADJ cana-4155 176 14 kaggle kaggle NOUN cana-4155 176 15 collection collection NOUN cana-4155 176 16 are be AUX cana-4155 176 17 used use VERB cana-4155 176 18 in in ADP cana-4155 176 19 this this DET cana-4155 176 20 paper paper NOUN cana-4155 176 21 . . PUNCT cana-4155 177 1 for for ADP cana-4155 177 2 the the DET cana-4155 177 3 purpose purpose NOUN cana-4155 177 4 of of ADP cana-4155 177 5 detecting detect VERB cana-4155 177 6 brain brain NOUN cana-4155 177 7 tumors tumor NOUN cana-4155 177 8 , , PUNCT cana-4155 177 9 https://www.kaggle.com/datasets/navoneel/brain-mri-images https://www.kaggle.com/datasets/navoneel/brain-mri-image NOUN cana-4155 177 10 this this DET cana-4155 177 11 website website NOUN cana-4155 177 12 has have VERB cana-4155 177 13 the the DET cana-4155 177 14 database database NOUN cana-4155 177 15 . . PUNCT cana-4155 178 1 it it PRON cana-4155 178 2 includes include VERB cana-4155 178 3 two two NUM cana-4155 178 4 folders folder NOUN cana-4155 178 5 with with ADP cana-4155 178 6 and and CCONJ cana-4155 178 7 without without ADP cana-4155 178 8 brain brain NOUN cana-4155 178 9 tumors tumor NOUN cana-4155 178 10 , , PUNCT cana-4155 178 11 totalling500 totalling500 PROPN cana-4155 178 12 mri mri NOUN cana-4155 178 13 brain brain NOUN cana-4155 178 14 scans scan NOUN cana-4155 178 15 . . PUNCT cana-4155 179 1 400 400 NUM cana-4155 179 2 m.r.i m.r.i NOUN cana-4155 179 3 . . PUNCT cana-4155 179 4 brain brain NOUN cana-4155 179 5 images image NOUN cana-4155 179 6 in in ADP cana-4155 179 7 a a DET cana-4155 179 8 folder folder NOUN cana-4155 179 9 devoid devoid ADJ cana-4155 179 10 of of ADP cana-4155 179 11 brain brain NOUN cana-4155 179 12 tumors tumor NOUN cana-4155 179 13 and and CCONJ cana-4155 179 14 100 100 NUM cana-4155 179 15 mr mr PROPN cana-4155 179 16 brain brain NOUN cana-4155 179 17 images image NOUN cana-4155 179 18 in in ADP cana-4155 179 19 a a DET cana-4155 179 20 folder folder NOUN cana-4155 179 21 containing contain VERB cana-4155 179 22 brain brain NOUN cana-4155 179 23 tumors tumor NOUN cana-4155 179 24 make make VERB cana-4155 179 25 up up ADP cana-4155 179 26 this this DET cana-4155 179 27 dataset dataset NOUN cana-4155 179 28 . . PUNCT cana-4155 180 1 communications communication NOUN cana-4155 180 2 on on ADP cana-4155 180 3 applied apply VERB cana-4155 180 4 nonlinear nonlinear ADJ cana-4155 180 5 analysis analysis NOUN cana-4155 180 6 issn issn NOUN cana-4155 180 7 : : PUNCT cana-4155 180 8 1074 1074 NUM cana-4155 180 9 - - PUNCT cana-4155 180 10 133x 133x NUM cana-4155 180 11 vol vol NOUN cana-4155 180 12 32 32 NUM cana-4155 180 13 no no NOUN cana-4155 180 14 . . PUNCT cana-4155 181 1 9s 9s NUM cana-4155 181 2 ( ( PUNCT cana-4155 181 3 2025 2025 NUM cana-4155 181 4 ) ) PUNCT cana-4155 181 5 1383 1383 NUM cana-4155 181 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 181 7 figure:4 figure:4 X cana-4155 181 8 affected affect VERB cana-4155 181 9 mri mri NOUN cana-4155 181 10 images image NOUN cana-4155 181 11 figure:5 figure:5 ADP cana-4155 181 12 non non ADJ cana-4155 181 13 - - ADJ cana-4155 181 14 affected affected ADJ cana-4155 181 15 m.r.i m.r.i NOUN cana-4155 181 16 images image NOUN cana-4155 181 17 figures figure NOUN cana-4155 181 18 4 4 NUM cana-4155 181 19 and and CCONJ cana-4155 181 20 5 5 NUM cana-4155 181 21 display display NOUN cana-4155 181 22 both both PRON cana-4155 181 23 afflicted afflict VERB cana-4155 181 24 and and CCONJ cana-4155 181 25 unaffected unaffected ADJ cana-4155 181 26 brain brain NOUN cana-4155 181 27 m.r.i m.r.i NOUN cana-4155 181 28 . . PUNCT cana-4155 181 29 scans scan NOUN cana-4155 181 30 from from ADP cana-4155 181 31 the the DET cana-4155 181 32 publicly publicly ADV cana-4155 181 33 accessible accessible ADJ cana-4155 181 34 kaggle kaggle NOUN cana-4155 181 35 library library NOUN cana-4155 181 36 . . PUNCT cana-4155 182 1 table table NOUN cana-4155 182 2 2 2 NUM cana-4155 182 3 accuracy accuracy NOUN cana-4155 182 4 performance performance NOUN cana-4155 182 5 datasets dataset VERB cana-4155 182 6 cnn cnn PROPN cana-4155 182 7 u u PROPN cana-4155 182 8 - - ADJ cana-4155 182 9 net net ADJ cana-4155 182 10 garunet garunet NOUN cana-4155 182 11 restnet-50 restnet-50 PROPN cana-4155 182 12 cnn cnn PROPN cana-4155 182 13 100 100 NUM cana-4155 182 14 45.2 45.2 NUM cana-4155 182 15 47.89 47.89 NUM cana-4155 182 16 54.7 54.7 NUM cana-4155 182 17 59.6 59.6 NUM cana-4155 182 18 200 200 NUM cana-4155 182 19 47.1 47.1 NUM cana-4155 182 20 49.5 49.5 NUM cana-4155 182 21 56.2 56.2 NUM cana-4155 182 22 61.2 61.2 NUM cana-4155 182 23 350 350 NUM cana-4155 182 24 53.4 53.4 NUM cana-4155 182 25 55.9 55.9 NUM cana-4155 182 26 60.1 60.1 NUM cana-4155 182 27 75.6 75.6 NUM cana-4155 182 28 500 500 NUM cana-4155 182 29 60.4 60.4 NUM cana-4155 182 30 75.2 75.2 NUM cana-4155 182 31 83.2 83.2 NUM cana-4155 182 32 94.2 94.2 NUM cana-4155 182 33 figure figure NOUN cana-4155 182 34 2 2 NUM cana-4155 182 35 . . PUNCT cana-4155 183 1 performance performance NOUN cana-4155 183 2 analysis analysis NOUN cana-4155 183 3 of of ADP cana-4155 183 4 accuracy accuracy NOUN cana-4155 183 5 it it PRON cana-4155 183 6 can can AUX cana-4155 183 7 be be AUX cana-4155 183 8 perceived perceive VERB cana-4155 183 9 as as ADP cana-4155 183 10 of of ADP cana-4155 183 11 figure figure NOUN cana-4155 183 12 2and 2and NUM cana-4155 183 13 table table NOUN cana-4155 183 14 2 2 NUM cana-4155 183 15 that that SCONJ cana-4155 183 16 the the DET cana-4155 183 17 analysis analysis NOUN cana-4155 183 18 accuracy accuracy NOUN cana-4155 183 19 of of ADP cana-4155 183 20 cnn cnn PROPN cana-4155 183 21 method method NOUN cana-4155 183 22 is be AUX cana-4155 183 23 60.4 60.4 NUM cana-4155 183 24 % % NOUN cana-4155 183 25 , , PUNCT cana-4155 183 26 unet unet NOUN cana-4155 183 27 is be AUX cana-4155 183 28 75.2 75.2 NUM cana-4155 183 29 % % NOUN cana-4155 183 30 , , PUNCT cana-4155 183 31 garu garu NOUN cana-4155 183 32 - - PUNCT cana-4155 183 33 net net NOUN cana-4155 183 34 is be AUX cana-4155 183 35 83.2 83.2 NUM cana-4155 183 36 % % NOUN cana-4155 183 37 and and CCONJ cana-4155 183 38 restnet-50 restnet-50 PROPN cana-4155 183 39 cnn cnn PROPN cana-4155 183 40 method method NOUN cana-4155 183 41 is be AUX cana-4155 183 42 94.2 94.2 NUM cana-4155 183 43 % % NOUN cana-4155 183 44 . . PUNCT cana-4155 184 1 this this DET cana-4155 184 2 method method NOUN cana-4155 184 3 has have VERB cana-4155 184 4 higher high ADJ cana-4155 184 5 accuracy accuracy NOUN cana-4155 184 6 than than ADP cana-4155 184 7 traditional traditional ADJ cana-4155 184 8 methods method NOUN cana-4155 184 9 . . PUNCT cana-4155 185 1 dbn dbn PROPN cana-4155 185 2 provides provide VERB cana-4155 185 3 layer layer NOUN cana-4155 185 4 - - PUNCT cana-4155 185 5 by by ADP cana-4155 185 6 - - PUNCT cana-4155 185 7 layer layer NOUN cana-4155 185 8 pre pre ADJ cana-4155 185 9 - - ADJ cana-4155 185 10 training training ADJ cana-4155 185 11 technology technology NOUN cana-4155 185 12 for for ADP cana-4155 185 13 deep deep ADJ cana-4155 185 14 networks network NOUN cana-4155 185 15 . . PUNCT cana-4155 186 1 this this PRON cana-4155 186 2 helps help VERB cana-4155 186 3 to to PART cana-4155 186 4 initialize initialize VERB cana-4155 186 5 cnn cnn PROPN cana-4155 186 6 weights weight NOUN cana-4155 186 7 , , PUNCT cana-4155 186 8 avoid avoid VERB cana-4155 186 9 undesirable undesirable ADJ cana-4155 186 10 local local ADJ cana-4155 186 11 minima minima NOUN cana-4155 186 12 and and CCONJ cana-4155 186 13 improve improve VERB cana-4155 186 14 convergence convergence NOUN cana-4155 186 15 during during ADP cana-4155 186 16 training training NOUN cana-4155 186 17 . . PUNCT cana-4155 187 1 table table NOUN cana-4155 187 2 3 3 NUM cana-4155 187 3 sensitivity sensitivity NOUN cana-4155 187 4 performance performance NOUN cana-4155 187 5 communications communication NOUN cana-4155 187 6 on on ADP cana-4155 187 7 applied apply VERB cana-4155 187 8 nonlinear nonlinear ADJ cana-4155 187 9 analysis analysis NOUN cana-4155 187 10 issn issn NOUN cana-4155 187 11 : : PUNCT cana-4155 187 12 1074 1074 NUM cana-4155 187 13 - - PUNCT cana-4155 187 14 133x 133x NUM cana-4155 187 15 vol vol NOUN cana-4155 187 16 32 32 NUM cana-4155 187 17 no no NOUN cana-4155 187 18 . . PUNCT cana-4155 188 1 9s 9s NUM cana-4155 188 2 ( ( PUNCT cana-4155 188 3 2025 2025 NUM cana-4155 188 4 ) ) PUNCT cana-4155 188 5 1384 1384 NUM cana-4155 188 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 188 7 datasets dataset VERB cana-4155 188 8 cnn cnn PROPN cana-4155 188 9 u u PROPN cana-4155 188 10 - - ADJ cana-4155 188 11 net net ADJ cana-4155 188 12 garunet garunet NOUN cana-4155 188 13 restnet-50 restnet-50 PROPN cana-4155 188 14 cnn cnn PROPN cana-4155 188 15 100 100 NUM cana-4155 188 16 58.2 58.2 NUM cana-4155 188 17 64.3 64.3 NUM cana-4155 188 18 68.4 68.4 NUM cana-4155 188 19 71.4 71.4 NUM cana-4155 188 20 200 200 NUM cana-4155 188 21 61.2 61.2 NUM cana-4155 188 22 67.1 67.1 NUM cana-4155 188 23 72.7 72.7 NUM cana-4155 188 24 75.6 75.6 NUM cana-4155 188 25 350 350 NUM cana-4155 188 26 65.2 65.2 NUM cana-4155 188 27 70.8 70.8 NUM cana-4155 188 28 77.4 77.4 NUM cana-4155 188 29 85.3 85.3 NUM cana-4155 188 30 500 500 NUM cana-4155 188 31 70.1 70.1 NUM cana-4155 188 32 76.4 76.4 NUM cana-4155 188 33 85.4 85.4 NUM cana-4155 188 34 95.2 95.2 NUM cana-4155 188 35 figure figure NOUN cana-4155 188 36 3 3 NUM cana-4155 188 37 . . PUNCT cana-4155 189 1 performance performance NOUN cana-4155 189 2 analysis analysis NOUN cana-4155 189 3 of of ADP cana-4155 189 4 sensitivity sensitivity NOUN cana-4155 189 5 it it PRON cana-4155 189 6 can can AUX cana-4155 189 7 be be AUX cana-4155 189 8 seen see VERB cana-4155 189 9 from from ADP cana-4155 189 10 figure figure NOUN cana-4155 189 11 3 3 NUM cana-4155 189 12 that that SCONJ cana-4155 189 13 the the DET cana-4155 189 14 analysis analysis NOUN cana-4155 189 15 sensitivity sensitivity NOUN cana-4155 189 16 of of ADP cana-4155 189 17 cnn cnn PROPN cana-4155 189 18 method method NOUN cana-4155 189 19 is be AUX cana-4155 189 20 70.1 70.1 NUM cana-4155 189 21 % % NOUN cana-4155 189 22 , , PUNCT cana-4155 189 23 u u NOUN cana-4155 189 24 - - NOUN cana-4155 189 25 net net ADJ cana-4155 189 26 is be AUX cana-4155 189 27 76.4 76.4 NUM cana-4155 189 28 % % NOUN cana-4155 189 29 , , PUNCT cana-4155 189 30 garu garu NOUN cana-4155 189 31 - - PUNCT cana-4155 189 32 net net NOUN cana-4155 189 33 is be AUX cana-4155 189 34 85.4 85.4 NUM cana-4155 189 35 % % NOUN cana-4155 189 36 and and CCONJ cana-4155 189 37 restnet restnet ADJ cana-4155 189 38 50 50 NUM cana-4155 189 39 cnn cnn NOUN cana-4155 189 40 method method NOUN cana-4155 189 41 is be AUX cana-4155 189 42 95.2 95.2 NUM cana-4155 189 43 % % NOUN cana-4155 189 44 . . PUNCT cana-4155 190 1 this this DET cana-4155 190 2 method method NOUN cana-4155 190 3 has have VERB cana-4155 190 4 higher high ADJ cana-4155 190 5 sensitivity sensitivity NOUN cana-4155 190 6 than than ADP cana-4155 190 7 traditional traditional ADJ cana-4155 190 8 methods method NOUN cana-4155 190 9 . . PUNCT cana-4155 191 1 this this DET cana-4155 191 2 method method NOUN cana-4155 191 3 effectively effectively ADV cana-4155 191 4 captures capture VERB cana-4155 191 5 complex complex ADJ cana-4155 191 6 patterns pattern NOUN cana-4155 191 7 and and CCONJ cana-4155 191 8 details detail NOUN cana-4155 191 9 in in ADP cana-4155 191 10 the the DET cana-4155 191 11 data datum NOUN cana-4155 191 12 , , PUNCT cana-4155 191 13 improves improve VERB cana-4155 191 14 initialization initialization NOUN cana-4155 191 15 and and CCONJ cana-4155 191 16 reduces reduce VERB cana-4155 191 17 over over ADP cana-4155 191 18 fitting fitting ADJ cana-4155 191 19 , , PUNCT cana-4155 191 20 and and CCONJ cana-4155 191 21 improves improve VERB cana-4155 191 22 both both CCONJ cana-4155 191 23 generative generative ADJ cana-4155 191 24 and and CCONJ cana-4155 191 25 discriminative discriminative NOUN cana-4155 191 26 learning learn VERB cana-4155 191 27 methods method NOUN cana-4155 191 28 . . PUNCT cana-4155 192 1 this this DET cana-4155 192 2 combination combination NOUN cana-4155 192 3 creates create VERB cana-4155 192 4 models model NOUN cana-4155 192 5 that that PRON cana-4155 192 6 are be AUX cana-4155 192 7 better well ADJ cana-4155 192 8 at at ADP cana-4155 192 9 detecting detect VERB cana-4155 192 10 true true ADJ cana-4155 192 11 positives positive NOUN cana-4155 192 12 and and CCONJ cana-4155 192 13 less less ADV cana-4155 192 14 likely likely ADJ cana-4155 192 15 to to PART cana-4155 192 16 miss miss VERB cana-4155 192 17 important important ADJ cana-4155 192 18 features feature NOUN cana-4155 192 19 or or CCONJ cana-4155 192 20 anomalies anomaly NOUN cana-4155 192 21 in in ADP cana-4155 192 22 the the DET cana-4155 192 23 data datum NOUN cana-4155 192 24 . . PUNCT cana-4155 193 1 figure figure VERB cana-4155 193 2 4 4 NUM cana-4155 193 3 . . PUNCT cana-4155 194 1 performance performance NOUN cana-4155 194 2 analysis analysis NOUN cana-4155 194 3 of of ADP cana-4155 194 4 f1 f1 ADJ cana-4155 194 5 score score NOUN cana-4155 194 6 it it PRON cana-4155 194 7 can can AUX cana-4155 194 8 be be AUX cana-4155 194 9 seen see VERB cana-4155 194 10 from from ADP cana-4155 194 11 figure figure NOUN cana-4155 194 12 4 4 NUM cana-4155 194 13 that that SCONJ cana-4155 194 14 the the DET cana-4155 194 15 analysis analysis NOUN cana-4155 194 16 sensitivity sensitivity NOUN cana-4155 194 17 of of ADP cana-4155 194 18 cnn cnn PROPN cana-4155 194 19 method method NOUN cana-4155 194 20 is be AUX cana-4155 194 21 75.7 75.7 NUM cana-4155 194 22 % % NOUN cana-4155 194 23 , , PUNCT cana-4155 194 24 u u NOUN cana-4155 194 25 - - NOUN cana-4155 194 26 net net ADJ cana-4155 194 27 is be AUX cana-4155 194 28 79.8 79.8 NUM cana-4155 194 29 % % NOUN cana-4155 194 30 , , PUNCT cana-4155 194 31 garu garu NOUN cana-4155 194 32 - - PUNCT cana-4155 194 33 net net NOUN cana-4155 194 34 is be AUX cana-4155 194 35 87.4 87.4 NUM cana-4155 194 36 % % NOUN cana-4155 194 37 and and CCONJ cana-4155 194 38 restnet restnet ADJ cana-4155 194 39 50 50 NUM cana-4155 194 40 - - PUNCT cana-4155 194 41 cnn cnn PROPN cana-4155 194 42 method method NOUN cana-4155 194 43 is be AUX cana-4155 194 44 94.6 94.6 NUM cana-4155 194 45 % % NOUN cana-4155 194 46 . . PUNCT cana-4155 195 1 this this DET cana-4155 195 2 method method NOUN cana-4155 195 3 has have VERB cana-4155 195 4 higher high ADJ cana-4155 195 5 f1 f1 NOUN cana-4155 195 6 score score NOUN cana-4155 195 7 than than ADP cana-4155 195 8 traditional traditional ADJ cana-4155 195 9 methods method NOUN cana-4155 195 10 . . PUNCT cana-4155 196 1 the the DET cana-4155 196 2 f1 f1 PROPN cana-4155 196 3 score score NOUN cana-4155 196 4 is be AUX cana-4155 196 5 an an DET cana-4155 196 6 amount amount NOUN cana-4155 196 7 of of ADP cana-4155 196 8 a a DET cana-4155 196 9 method method NOUN cana-4155 196 10 accurateness accurateness NOUN cana-4155 196 11 that that PRON cana-4155 196 12 deliberates deliberate VERB cana-4155 196 13 together together ADV cana-4155 196 14 communications communication NOUN cana-4155 196 15 on on ADP cana-4155 196 16 applied apply VERB cana-4155 196 17 nonlinear nonlinear ADJ cana-4155 196 18 analysis analysis NOUN cana-4155 196 19 issn issn NOUN cana-4155 196 20 : : PUNCT cana-4155 196 21 1074 1074 NUM cana-4155 196 22 - - PUNCT cana-4155 196 23 133x 133x NUM cana-4155 196 24 vol vol NOUN cana-4155 196 25 32 32 NUM cana-4155 196 26 no no NOUN cana-4155 196 27 . . PUNCT cana-4155 197 1 9s 9s NUM cana-4155 197 2 ( ( PUNCT cana-4155 197 3 2025 2025 NUM cana-4155 197 4 ) ) PUNCT cana-4155 197 5 1385 1385 NUM cana-4155 197 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 197 7 accuracy accuracy NOUN cana-4155 197 8 and and CCONJ cana-4155 197 9 sensitivity sensitivity NOUN cana-4155 197 10 , , PUNCT cana-4155 197 11 and and CCONJ cana-4155 197 12 is be AUX cana-4155 197 13 particularly particularly ADV cana-4155 197 14 useful useful ADJ cana-4155 197 15 when when SCONJ cana-4155 197 16 evaluating evaluate VERB cana-4155 197 17 classifier classifier NOUN cana-4155 197 18 performance performance NOUN cana-4155 197 19 on on ADP cana-4155 197 20 unbalanced unbalanced ADJ cana-4155 197 21 datasets dataset NOUN cana-4155 197 22 . . PUNCT cana-4155 198 1 figure figure NOUN cana-4155 198 2 5 5 NUM cana-4155 198 3 . . PUNCT cana-4155 199 1 performance performance NOUN cana-4155 199 2 analysis analysis NOUN cana-4155 199 3 of of ADP cana-4155 199 4 specificity specificity NOUN cana-4155 199 5 it it PRON cana-4155 199 6 can can AUX cana-4155 199 7 be be AUX cana-4155 199 8 seen see VERB cana-4155 199 9 from from ADP cana-4155 199 10 figure figure NOUN cana-4155 199 11 5 5 NUM cana-4155 199 12 that that SCONJ cana-4155 199 13 the the DET cana-4155 199 14 analysis analysis NOUN cana-4155 199 15 sensitivity sensitivity NOUN cana-4155 199 16 of of ADP cana-4155 199 17 cnn cnn PROPN cana-4155 199 18 method method NOUN cana-4155 199 19 is be AUX cana-4155 199 20 81.2 81.2 NUM cana-4155 199 21 % % NOUN cana-4155 199 22 , , PUNCT cana-4155 199 23 u u NOUN cana-4155 199 24 - - NOUN cana-4155 199 25 net net ADJ cana-4155 199 26 is be AUX cana-4155 199 27 86.4 86.4 NUM cana-4155 199 28 % % NOUN cana-4155 199 29 , , PUNCT cana-4155 199 30 garu garu NOUN cana-4155 199 31 - - PUNCT cana-4155 199 32 net net NOUN cana-4155 199 33 is be AUX cana-4155 199 34 89.4 89.4 NUM cana-4155 199 35 % % NOUN cana-4155 199 36 and and CCONJ cana-4155 199 37 restnet-50 restnet-50 PROPN cana-4155 199 38 cnn cnn PROPN cana-4155 199 39 method method NOUN cana-4155 199 40 is be AUX cana-4155 199 41 95.4 95.4 NUM cana-4155 199 42 % % NOUN cana-4155 199 43 . . PUNCT cana-4155 200 1 this this DET cana-4155 200 2 method method NOUN cana-4155 200 3 has have VERB cana-4155 200 4 higher high ADJ cana-4155 200 5 specificity specificity NOUN cana-4155 200 6 than than ADP cana-4155 200 7 traditional traditional ADJ cana-4155 200 8 methods method NOUN cana-4155 200 9 . . PUNCT cana-4155 201 1 the the DET cana-4155 201 2 restnet restnet ADJ cana-4155 201 3 50 50 NUM cana-4155 201 4 - - PUNCT cana-4155 201 5 cnn cnn PROPN cana-4155 201 6 method method NOUN cana-4155 201 7 improves improve VERB cana-4155 201 8 the the DET cana-4155 201 9 specificity specificity NOUN cana-4155 201 10 of of ADP cana-4155 201 11 image image NOUN cana-4155 201 12 classification classification NOUN cana-4155 201 13 through through ADP cana-4155 201 14 a a DET cana-4155 201 15 combination combination NOUN cana-4155 201 16 of of ADP cana-4155 201 17 robust robust ADJ cana-4155 201 18 feature feature NOUN cana-4155 201 19 extraction extraction NOUN cana-4155 201 20 , , PUNCT cana-4155 201 21 improved improved ADJ cana-4155 201 22 generalization generalization NOUN cana-4155 201 23 , , PUNCT cana-4155 201 24 noise noise NOUN cana-4155 201 25 immunity immunity NOUN cana-4155 201 26 , , PUNCT cana-4155 201 27 and and CCONJ cana-4155 201 28 generative generative ADJ cana-4155 201 29 and and CCONJ cana-4155 201 30 discriminative discriminative NOUN cana-4155 201 31 learning learning NOUN cana-4155 201 32 methods method NOUN cana-4155 201 33 . . PUNCT cana-4155 202 1 taken take VERB cana-4155 202 2 together together ADV cana-4155 202 3 , , PUNCT cana-4155 202 4 these these DET cana-4155 202 5 advantages advantage NOUN cana-4155 202 6 make make VERB cana-4155 202 7 the the DET cana-4155 202 8 classification classification NOUN cana-4155 202 9 model model NOUN cana-4155 202 10 more more ADV cana-4155 202 11 accurate accurate ADJ cana-4155 202 12 and and CCONJ cana-4155 202 13 reliable reliable ADJ cana-4155 202 14 , , PUNCT cana-4155 202 15 capable capable ADJ cana-4155 202 16 of of ADP cana-4155 202 17 accurately accurately ADV cana-4155 202 18 identifying identify VERB cana-4155 202 19 negative negative ADJ cana-4155 202 20 events event NOUN cana-4155 202 21 and and CCONJ cana-4155 202 22 achieving achieve VERB cana-4155 202 23 high high ADJ cana-4155 202 24 specificity specificity NOUN cana-4155 202 25 . . PUNCT cana-4155 203 1 figure figure VERB cana-4155 203 2 6 6 NUM cana-4155 203 3 . . PUNCT cana-4155 204 1 analysis analysis NOUN cana-4155 204 2 of of ADP cana-4155 204 3 error error NOUN cana-4155 204 4 rate rate NOUN cana-4155 204 5 figure figure NOUN cana-4155 204 6 6 6 NUM cana-4155 204 7 shows show VERB cana-4155 204 8 that that SCONJ cana-4155 204 9 the the DET cana-4155 204 10 cnn cnn PROPN cana-4155 204 11 approach approach NOUN cana-4155 204 12 has have VERB cana-4155 204 13 an an DET cana-4155 204 14 analysis analysis NOUN cana-4155 204 15 percentage percentage NOUN cana-4155 204 16 of of ADP cana-4155 204 17 64.2 64.2 NUM cana-4155 204 18 % % NOUN cana-4155 204 19 , , PUNCT cana-4155 204 20 followed follow VERB cana-4155 204 21 by by ADP cana-4155 204 22 u u NOUN cana-4155 204 23 - - NOUN cana-4155 204 24 net net ADJ cana-4155 204 25 at at ADP cana-4155 204 26 55.4 55.4 NUM cana-4155 204 27 % % NOUN cana-4155 204 28 , , PUNCT cana-4155 204 29 garu garu NOUN cana-4155 204 30 - - PUNCT cana-4155 204 31 net net NOUN cana-4155 204 32 at at ADP cana-4155 204 33 43.7 43.7 NUM cana-4155 204 34 % % NOUN cana-4155 204 35 , , PUNCT cana-4155 204 36 and and CCONJ cana-4155 204 37 restnet restnet ADJ cana-4155 204 38 50 50 NUM cana-4155 204 39 - - PUNCT cana-4155 204 40 cnn cnn NOUN cana-4155 204 41 at at ADP cana-4155 204 42 24.5 24.5 NUM cana-4155 204 43 % % NOUN cana-4155 204 44 . . PUNCT cana-4155 205 1 compared compare VERB cana-4155 205 2 to to ADP cana-4155 205 3 conventional conventional ADJ cana-4155 205 4 approaches approach NOUN cana-4155 205 5 , , PUNCT cana-4155 205 6 this this DET cana-4155 205 7 approach approach NOUN cana-4155 205 8 has have VERB cana-4155 205 9 a a DET cana-4155 205 10 lower low ADJ cana-4155 205 11 error error NOUN cana-4155 205 12 rate rate NOUN cana-4155 205 13 . . PUNCT cana-4155 206 1 sampling sample VERB cana-4155 206 2 is be AUX cana-4155 206 3 used use VERB cana-4155 206 4 to to PART cana-4155 206 5 generalize generalize VERB cana-4155 206 6 unobserved unobserved ADJ cana-4155 206 7 data datum NOUN cana-4155 206 8 and and CCONJ cana-4155 206 9 minimize minimize VERB cana-4155 206 10 over over ADP cana-4155 206 11 fitting fitting ADJ cana-4155 206 12 . . PUNCT cana-4155 207 1 a a DET cana-4155 207 2 model model NOUN cana-4155 207 3 that that PRON cana-4155 207 4 generalizes generalize VERB cana-4155 207 5 well well ADV cana-4155 207 6 is be AUX cana-4155 207 7 less less ADV cana-4155 207 8 likely likely ADJ cana-4155 207 9 to to PART cana-4155 207 10 make make VERB cana-4155 207 11 mistakes mistake NOUN cana-4155 207 12 on on ADP cana-4155 207 13 new new ADJ cana-4155 207 14 data datum NOUN cana-4155 207 15 , , PUNCT cana-4155 207 16 thus thus ADV cana-4155 207 17 lowering lower VERB cana-4155 207 18 the the DET cana-4155 207 19 error error NOUN cana-4155 207 20 rate rate NOUN cana-4155 207 21 . . PUNCT cana-4155 208 1 5 5 X cana-4155 208 2 . . X cana-4155 208 3 conclusion conclusion NOUN cana-4155 208 4 communications communication NOUN cana-4155 208 5 on on ADP cana-4155 208 6 applied apply VERB cana-4155 208 7 nonlinear nonlinear ADJ cana-4155 208 8 analysis analysis NOUN cana-4155 208 9 issn issn NOUN cana-4155 208 10 : : PUNCT cana-4155 208 11 1074 1074 NUM cana-4155 208 12 - - PUNCT cana-4155 208 13 133x 133x NUM cana-4155 208 14 vol vol NOUN cana-4155 208 15 32 32 NUM cana-4155 208 16 no no NOUN cana-4155 208 17 . . PUNCT cana-4155 209 1 9s 9s NUM cana-4155 209 2 ( ( PUNCT cana-4155 209 3 2025 2025 NUM cana-4155 209 4 ) ) PUNCT cana-4155 209 5 1386 1386 NUM cana-4155 209 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 210 1 our our PRON cana-4155 210 2 research research NOUN cana-4155 210 3 paper paper NOUN cana-4155 210 4 deployed deploy VERB cana-4155 210 5 the the DET cana-4155 210 6 restnet-50 restnet-50 PROPN cana-4155 210 7 cnn cnn PROPN cana-4155 210 8 method method NOUN cana-4155 210 9 for for ADP cana-4155 210 10 classifying classify VERB cana-4155 210 11 the the DET cana-4155 210 12 brain brain NOUN cana-4155 210 13 tumor tumor NOUN cana-4155 210 14 images image NOUN cana-4155 210 15 . . PUNCT cana-4155 211 1 similarly similarly ADV cana-4155 211 2 , , PUNCT cana-4155 211 3 this this DET cana-4155 211 4 novel novel NOUN cana-4155 211 5 study study VERB cana-4155 211 6 the the DET cana-4155 211 7 brain brain NOUN cana-4155 211 8 tumor tumor NOUN cana-4155 211 9 mri mri NOUN cana-4155 211 10 dataset dataset VERB cana-4155 211 11 to to PART cana-4155 211 12 evaluate evaluate VERB cana-4155 211 13 the the DET cana-4155 211 14 narrative narrative NOUN cana-4155 211 15 nature nature NOUN cana-4155 211 16 and and CCONJ cana-4155 211 17 comprehensiveness comprehensiveness NOUN cana-4155 211 18 of of ADP cana-4155 211 19 the the DET cana-4155 211 20 non non ADJ cana-4155 211 21 - - ADJ cana-4155 211 22 local local ADJ cana-4155 211 23 means mean NOUN cana-4155 211 24 method method NOUN cana-4155 211 25 . . PUNCT cana-4155 212 1 we we PRON cana-4155 212 2 used use VERB cana-4155 212 3 non non ADJ cana-4155 212 4 - - ADJ cana-4155 212 5 local local ADJ cana-4155 212 6 means mean NOUN cana-4155 212 7 method method NOUN cana-4155 212 8 to to PART cana-4155 212 9 effectively effectively ADV cana-4155 212 10 reduce reduce VERB cana-4155 212 11 noise noise NOUN cana-4155 212 12 in in ADP cana-4155 212 13 medical medical ADJ cana-4155 212 14 images image NOUN cana-4155 212 15 while while SCONJ cana-4155 212 16 preserving preserve VERB cana-4155 212 17 important important ADJ cana-4155 212 18 details detail NOUN cana-4155 212 19 . . PUNCT cana-4155 213 1 after after ADP cana-4155 213 2 determining determine VERB cana-4155 213 3 the the DET cana-4155 213 4 boundaries boundary NOUN cana-4155 213 5 of of ADP cana-4155 213 6 tumors tumor NOUN cana-4155 213 7 in in ADP cana-4155 213 8 the the DET cana-4155 213 9 brain brain NOUN cana-4155 213 10 , , PUNCT cana-4155 213 11 feature feature NOUN cana-4155 213 12 selection selection NOUN cana-4155 213 13 is be AUX cana-4155 213 14 used use VERB cana-4155 213 15 to to PART cana-4155 213 16 compute compute VERB cana-4155 213 17 picture picture NOUN cana-4155 213 18 gradients gradient NOUN cana-4155 213 19 that that PRON cana-4155 213 20 highlight highlight VERB cana-4155 213 21 regions region NOUN cana-4155 213 22 of of ADP cana-4155 213 23 different different ADJ cana-4155 213 24 intensities intensity NOUN cana-4155 213 25 . . PUNCT cana-4155 214 1 the the DET cana-4155 214 2 restnet-50 restnet-50 PROPN cana-4155 214 3 cnn cnn PROPN cana-4155 214 4 method method NOUN cana-4155 214 5 has have AUX cana-4155 214 6 shown show VERB cana-4155 214 7 higher high ADJ cana-4155 214 8 accuracy accuracy NOUN cana-4155 214 9 than than ADP cana-4155 214 10 traditional traditional ADJ cana-4155 214 11 methods method NOUN cana-4155 214 12 in in ADP cana-4155 214 13 classifying classify VERB cana-4155 214 14 brain brain NOUN cana-4155 214 15 tumor tumor NOUN cana-4155 214 16 images image NOUN cana-4155 214 17 . . PUNCT cana-4155 215 1 it it PRON cana-4155 215 2 demonstrates demonstrate VERB cana-4155 215 3 that that SCONJ cana-4155 215 4 the the DET cana-4155 215 5 combination combination NOUN cana-4155 215 6 of of ADP cana-4155 215 7 restnet-50 restnet-50 PROPN cana-4155 215 8 cnn cnn PROPN cana-4155 215 9 can can AUX cana-4155 215 10 effectively effectively ADV cana-4155 215 11 capture capture VERB cana-4155 215 12 complex complex ADJ cana-4155 215 13 shapes shape NOUN cana-4155 215 14 and and CCONJ cana-4155 215 15 features feature NOUN cana-4155 215 16 of of ADP cana-4155 215 17 brain brain NOUN cana-4155 215 18 tumor tumor NOUN cana-4155 215 19 images image NOUN cana-4155 215 20 . . PUNCT cana-4155 216 1 the the DET cana-4155 216 2 hierarchical hierarchical ADJ cana-4155 216 3 structure structure NOUN cana-4155 216 4 of of ADP cana-4155 216 5 restnet-50 restnet-50 NOUN cana-4155 216 6 captures capture VERB cana-4155 216 7 the the DET cana-4155 216 8 low low ADJ cana-4155 216 9 - - PUNCT cana-4155 216 10 amount amount NOUN cana-4155 216 11 and and CCONJ cana-4155 216 12 high high ADJ cana-4155 216 13 - - PUNCT cana-4155 216 14 amount amount NOUN cana-4155 216 15 features feature NOUN cana-4155 216 16 required require VERB cana-4155 216 17 for for ADP cana-4155 216 18 accurate accurate ADJ cana-4155 216 19 classification classification NOUN cana-4155 216 20 and and CCONJ cana-4155 216 21 enables enable VERB cana-4155 216 22 detailed detailed ADJ cana-4155 216 23 feature feature NOUN cana-4155 216 24 extraction extraction NOUN cana-4155 216 25 . . PUNCT cana-4155 217 1 in in ADP cana-4155 217 2 addition addition NOUN cana-4155 217 3 , , PUNCT cana-4155 217 4 the the DET cana-4155 217 5 restnet-50 restnet-50 PROPN cana-4155 217 6 cnn cnn PROPN cana-4155 217 7 method method NOUN cana-4155 217 8 showed show VERB cana-4155 217 9 good good ADJ cana-4155 217 10 performance performance NOUN cana-4155 217 11 , , PUNCT cana-4155 217 12 with with ADP cana-4155 217 13 94.2 94.2 NUM cana-4155 217 14 % % NOUN cana-4155 217 15 accuracy accuracy NOUN cana-4155 217 16 , , PUNCT cana-4155 217 17 95.4 95.4 NUM cana-4155 217 18 % % NOUN cana-4155 217 19 specificity specificity NOUN cana-4155 217 20 , , PUNCT cana-4155 217 21 94.6 94.6 NUM cana-4155 217 22 f1 f1 NOUN cana-4155 217 23 score score NOUN cana-4155 217 24 , , PUNCT cana-4155 217 25 95.2 95.2 NUM cana-4155 217 26 % % NOUN cana-4155 217 27 sensitivity sensitivity NOUN cana-4155 217 28 , , PUNCT cana-4155 217 29 and and CCONJ cana-4155 217 30 24.5 24.5 NUM cana-4155 217 31 % % NOUN cana-4155 217 32 low low ADJ cana-4155 217 33 error error NOUN cana-4155 217 34 rate rate NOUN cana-4155 217 35 on on ADP cana-4155 217 36 brain brain NOUN cana-4155 217 37 tumor tumor NOUN cana-4155 217 38 mri mri NOUN cana-4155 217 39 dataset dataset NOUN cana-4155 217 40 . . PUNCT cana-4155 218 1 the the DET cana-4155 218 2 resnet-50 resnet-50 PROPN cana-4155 218 3 cnn cnn PROPN cana-4155 218 4 approach approach NOUN cana-4155 218 5 combines combine VERB cana-4155 218 6 the the DET cana-4155 218 7 hierarchical hierarchical ADJ cana-4155 218 8 feature feature NOUN cana-4155 218 9 extraction extraction NOUN cana-4155 218 10 capabilities capability NOUN cana-4155 218 11 of of ADP cana-4155 218 12 dbn dbn PROPN cana-4155 218 13 with with ADP cana-4155 218 14 the the DET cana-4155 218 15 multi multi ADJ cana-4155 218 16 - - ADJ cana-4155 218 17 layer layer NOUN cana-4155 218 18 provide provide VERB cana-4155 218 19 spatial spatial ADJ cana-4155 218 20 feature feature NOUN cana-4155 218 21 extraction extraction NOUN cana-4155 218 22 capabilities capability NOUN cana-4155 218 23 of of ADP cana-4155 218 24 cnn cnn PROPN cana-4155 218 25 . . PUNCT cana-4155 219 1 this this PRON cana-4155 219 2 allows allow VERB cana-4155 219 3 a a DET cana-4155 219 4 detailed detailed ADJ cana-4155 219 5 understanding understanding NOUN cana-4155 219 6 of of ADP cana-4155 219 7 brain brain NOUN cana-4155 219 8 tumor tumor NOUN cana-4155 219 9 images image NOUN cana-4155 219 10 and and CCONJ cana-4155 219 11 improves improve VERB cana-4155 219 12 classification classification NOUN cana-4155 219 13 performance performance NOUN cana-4155 219 14 reference reference NOUN cana-4155 219 15 1 1 NUM cana-4155 219 16 . . PUNCT cana-4155 220 1 h. h. PROPN cana-4155 220 2 liu liu PROPN cana-4155 220 3 , , PUNCT cana-4155 220 4 z. z. PROPN cana-4155 220 5 ni ni PROPN cana-4155 220 6 , , PUNCT cana-4155 220 7 d. d. PROPN cana-4155 220 8 nie nie PROPN cana-4155 220 9 , , PUNCT cana-4155 220 10 d. d. PROPN cana-4155 220 11 shen shen PROPN cana-4155 220 12 , , PUNCT cana-4155 220 13 j. j. PROPN cana-4155 220 14 wang wang PROPN cana-4155 220 15 and and CCONJ cana-4155 220 16 z. z. PROPN cana-4155 220 17 tang tang PROPN cana-4155 220 18 , , PUNCT cana-4155 220 19 " " PUNCT cana-4155 220 20 multimodal multimodal ADJ cana-4155 220 21 brain brain NOUN cana-4155 220 22 tumor tumor NOUN cana-4155 220 23 segmentation segmentation NOUN cana-4155 220 24 boosted boost VERB cana-4155 220 25 by by ADP cana-4155 220 26 monomodal monomodal ADJ cana-4155 220 27 normal normal ADJ cana-4155 220 28 brain brain NOUN cana-4155 220 29 images image NOUN cana-4155 220 30 , , PUNCT cana-4155 220 31 " " PUNCT cana-4155 220 32 in in ADP cana-4155 220 33 ieee ieee NOUN cana-4155 220 34 transactions transaction NOUN cana-4155 220 35 on on ADP cana-4155 220 36 image image NOUN cana-4155 220 37 processing processing NOUN cana-4155 220 38 , , PUNCT cana-4155 220 39 vol vol NOUN cana-4155 220 40 . . PROPN cana-4155 220 41 33 33 NUM cana-4155 220 42 , , PUNCT cana-4155 220 43 pp pp ADJ cana-4155 220 44 . . PUNCT cana-4155 220 45 1199 1199 NUM cana-4155 220 46 - - SYM cana-4155 220 47 1210 1210 NUM cana-4155 220 48 , , PUNCT cana-4155 220 49 2024,doi 2024,doi NUM cana-4155 220 50 : : PUNCT cana-4155 220 51 10.1109 10.1109 NUM cana-4155 220 52 / / SYM cana-4155 220 53 tip.2024.3359815 tip.2024.3359815 NOUN cana-4155 220 54 . . NOUN cana-4155 220 55 2 2 NUM cana-4155 220 56 . . PUNCT cana-4155 220 57 a. a. NOUN cana-4155 220 58 asiri asiri PROPN cana-4155 220 59 , , PUNCT cana-4155 220 60 t. t. PROPN cana-4155 220 61 a. a. PROPN cana-4155 220 62 soomro soomro PROPN cana-4155 220 63 , , PUNCT cana-4155 220 64 a. a. NOUN cana-4155 220 65 a. a. NOUN cana-4155 220 66 shah shah PROPN cana-4155 220 67 , , PUNCT cana-4155 220 68 g. g. PROPN cana-4155 220 69 pogrebna pogrebna PROPN cana-4155 220 70 , , PUNCT cana-4155 220 71 m. m. NOUN cana-4155 220 72 irfan irfan PROPN cana-4155 220 73 and and CCONJ cana-4155 220 74 s. s. PROPN cana-4155 220 75 alqahtani alqahtani PROPN cana-4155 220 76 , , PUNCT cana-4155 220 77 " " PUNCT cana-4155 220 78 optimized optimize VERB cana-4155 220 79 brain brain NOUN cana-4155 220 80 tumor tumor NOUN cana-4155 220 81 detection detection NOUN cana-4155 220 82 : : PUNCT cana-4155 220 83 a a DET cana-4155 220 84 dual dual ADJ cana-4155 220 85 - - PUNCT cana-4155 220 86 module module NOUN cana-4155 220 87 approach approach NOUN cana-4155 220 88 for for ADP cana-4155 220 89 mri mri NOUN cana-4155 220 90 image image NOUN cana-4155 220 91 enhancement enhancement NOUN cana-4155 220 92 and and CCONJ cana-4155 220 93 tumor tumor NOUN cana-4155 220 94 classification classification NOUN cana-4155 220 95 , , PUNCT cana-4155 220 96 " " PUNCT cana-4155 220 97 in in ADP cana-4155 220 98 ieee ieee NOUN cana-4155 220 99 access access NOUN cana-4155 220 100 , , PUNCT cana-4155 220 101 vol vol NOUN cana-4155 220 102 . . PROPN cana-4155 220 103 12 12 NUM cana-4155 220 104 , , PUNCT cana-4155 220 105 pp pp ADJ cana-4155 220 106 . . PUNCT cana-4155 220 107 42868 42868 NUM cana-4155 220 108 - - SYM cana-4155 220 109 42887 42887 NUM cana-4155 220 110 , , PUNCT cana-4155 220 111 2024 2024 NUM cana-4155 220 112 , , PUNCT cana-4155 220 113 doi doi NOUN cana-4155 220 114 : : PUNCT cana-4155 220 115 10.1109 10.1109 NUM cana-4155 220 116 / / SYM cana-4155 220 117 access.2024.3379136 access.2024.3379136 NOUN cana-4155 220 118 . . PUNCT cana-4155 221 1 3 3 X cana-4155 221 2 . . X cana-4155 221 3 y. y. PROPN cana-4155 221 4 -q -q PROPN cana-4155 221 5 . . PUNCT cana-4155 222 1 li li PROPN cana-4155 222 2 et et PROPN cana-4155 222 3 al al PROPN cana-4155 222 4 . . PROPN cana-4155 222 5 , , PUNCT cana-4155 222 6 " " PUNCT cana-4155 222 7 polarization polarization NOUN cana-4155 222 8 - - PUNCT cana-4155 222 9 sensitive sensitive ADJ cana-4155 222 10 optical optical ADJ cana-4155 222 11 coherence coherence NOUN cana-4155 222 12 tomography tomography NOUN cana-4155 222 13 for for ADP cana-4155 222 14 brain brain NOUN cana-4155 222 15 tumor tumor NOUN cana-4155 222 16 characterization characterization NOUN cana-4155 222 17 , , PUNCT cana-4155 222 18 " " PUNCT cana-4155 222 19 in in ADP cana-4155 222 20 ieee ieee PROPN cana-4155 222 21 journal journal NOUN cana-4155 222 22 of of ADP cana-4155 222 23 selected select VERB cana-4155 222 24 topics topic NOUN cana-4155 222 25 in in ADP cana-4155 222 26 quantum quantum ADJ cana-4155 222 27 electronics electronic NOUN cana-4155 222 28 , , PUNCT cana-4155 222 29 vol vol NOUN cana-4155 222 30 . . PROPN cana-4155 223 1 25 25 NUM cana-4155 223 2 , , PUNCT cana-4155 223 3 no no INTJ cana-4155 223 4 . . NOUN cana-4155 223 5 1 1 NUM cana-4155 223 6 , , PUNCT cana-4155 223 7 pp pp ADJ cana-4155 223 8 . . PUNCT cana-4155 224 1 1 1 NUM cana-4155 224 2 - - SYM cana-4155 224 3 7 7 NUM cana-4155 224 4 , , PUNCT cana-4155 224 5 jan.-feb jan.-feb PROPN cana-4155 224 6 . . NOUN cana-4155 224 7 2019 2019 NUM cana-4155 224 8 , , PUNCT cana-4155 224 9 art art NOUN cana-4155 224 10 no no NOUN cana-4155 224 11 . . PROPN cana-4155 225 1 7202707 7202707 NUM cana-4155 225 2 , , PUNCT cana-4155 225 3 doi doi NOUN cana-4155 225 4 : : PUNCT cana-4155 225 5 10.1109 10.1109 NUM cana-4155 225 6 / / SYM cana-4155 225 7 jstqe.2018.2885487 jstqe.2018.2885487 PROPN cana-4155 225 8 . . PROPN cana-4155 226 1 4 4 X cana-4155 226 2 . . PUNCT cana-4155 226 3 n. n. PROPN cana-4155 226 4 noreen noreen PROPN cana-4155 226 5 , , PUNCT cana-4155 226 6 s. s. PROPN cana-4155 226 7 palaniappan palaniappan PROPN cana-4155 226 8 , , PUNCT cana-4155 226 9 a. a. PROPN cana-4155 226 10 qayyum qayyum PROPN cana-4155 226 11 , , PUNCT cana-4155 226 12 i. i. PROPN cana-4155 226 13 ahmad ahmad PROPN cana-4155 226 14 , , PUNCT cana-4155 226 15 m. m. NOUN cana-4155 226 16 imran imran PROPN cana-4155 226 17 and and CCONJ cana-4155 226 18 m. m. PROPN cana-4155 226 19 shoaib shoaib PROPN cana-4155 226 20 , , PUNCT cana-4155 226 21 " " PUNCT cana-4155 226 22 a a DET cana-4155 226 23 deep deep ADJ cana-4155 226 24 learning learning NOUN cana-4155 226 25 model model NOUN cana-4155 226 26 based base VERB cana-4155 226 27 on on ADP cana-4155 226 28 concatenation concatenation NOUN cana-4155 226 29 approach approach NOUN cana-4155 226 30 for for ADP cana-4155 226 31 the the DET cana-4155 226 32 diagnosis diagnosis NOUN cana-4155 226 33 of of ADP cana-4155 226 34 brain brain NOUN cana-4155 226 35 tumor tumor NOUN cana-4155 226 36 , , PUNCT cana-4155 226 37 " " PUNCT cana-4155 226 38 in in ADP cana-4155 226 39 ieee ieee NOUN cana-4155 226 40 access access NOUN cana-4155 226 41 , , PUNCT cana-4155 226 42 vol vol NOUN cana-4155 226 43 . . PROPN cana-4155 226 44 8 8 NUM cana-4155 226 45 , , PUNCT cana-4155 226 46 pp pp ADJ cana-4155 226 47 . . PUNCT cana-4155 227 1 55135 55135 NUM cana-4155 227 2 - - SYM cana-4155 227 3 55144 55144 NUM cana-4155 227 4 , , PUNCT cana-4155 227 5 2020 2020 NUM cana-4155 227 6 , , PUNCT cana-4155 227 7 doi doi NOUN cana-4155 227 8 : : PUNCT cana-4155 227 9 10.1109 10.1109 NUM cana-4155 227 10 / / SYM cana-4155 227 11 access.2020.2978629 access.2020.2978629 NOUN cana-4155 227 12 . . PUNCT cana-4155 228 1 5 5 NUM cana-4155 228 2 . . X cana-4155 228 3 younis youni NOUN cana-4155 228 4 et et PROPN cana-4155 228 5 al al PROPN cana-4155 228 6 . . PROPN cana-4155 228 7 , , PUNCT cana-4155 228 8 " " PUNCT cana-4155 228 9 abnormal abnormal ADJ cana-4155 228 10 brain brain NOUN cana-4155 228 11 tumors tumor NOUN cana-4155 228 12 classification classification NOUN cana-4155 228 13 using use VERB cana-4155 228 14 resnet50 resnet50 NOUN cana-4155 228 15 and and CCONJ cana-4155 228 16 its its PRON cana-4155 228 17 comprehensive comprehensive ADJ cana-4155 228 18 evaluation evaluation NOUN cana-4155 228 19 , , PUNCT cana-4155 228 20 " " PUNCT cana-4155 228 21 in in ADP cana-4155 228 22 ieee ieee NOUN cana-4155 228 23 access access NOUN cana-4155 228 24 , , PUNCT cana-4155 228 25 vol vol NOUN cana-4155 228 26 . . PROPN cana-4155 228 27 12 12 NUM cana-4155 228 28 , , PUNCT cana-4155 228 29 pp pp ADJ cana-4155 228 30 . . PUNCT cana-4155 229 1 78843 78843 NUM cana-4155 229 2 - - SYM cana-4155 229 3 78853 78853 NUM cana-4155 229 4 , , PUNCT cana-4155 229 5 2024 2024 NUM cana-4155 229 6 , , PUNCT cana-4155 229 7 doi doi NOUN cana-4155 229 8 : : PUNCT cana-4155 229 9 10.1109 10.1109 NUM cana-4155 229 10 / / SYM cana-4155 229 11 access.2024.3403902 access.2024.3403902 NOUN cana-4155 229 12 . . PUNCT cana-4155 230 1 6 6 NUM cana-4155 230 2 . . PUNCT cana-4155 230 3 j. j. PROPN cana-4155 230 4 chaki chaki PROPN cana-4155 230 5 and and CCONJ cana-4155 230 6 m. m. PROPN cana-4155 230 7 woΕΊniak woΕΊniak PROPN cana-4155 230 8 , , PUNCT cana-4155 230 9 " " PUNCT cana-4155 230 10 brain brain NOUN cana-4155 230 11 tumor tumor NOUN cana-4155 230 12 categorization categorization NOUN cana-4155 230 13 and and CCONJ cana-4155 230 14 retrieval retrieval NOUN cana-4155 230 15 using use VERB cana-4155 230 16 deep deep ADJ cana-4155 230 17 brain brain NOUN cana-4155 230 18 incep incep VERB cana-4155 230 19 res re NOUN cana-4155 230 20 architecture architecture NOUN cana-4155 230 21 based base VERB cana-4155 230 22 reinforcement reinforcement NOUN cana-4155 230 23 learning learning NOUN cana-4155 230 24 network network NOUN cana-4155 230 25 , , PUNCT cana-4155 230 26 " " PUNCT cana-4155 230 27 in in ADP cana-4155 230 28 ieee ieee NOUN cana-4155 230 29 access access NOUN cana-4155 230 30 , , PUNCT cana-4155 230 31 vol vol NOUN cana-4155 230 32 . . PROPN cana-4155 231 1 11 11 NUM cana-4155 231 2 , , PUNCT cana-4155 231 3 pp pp ADJ cana-4155 231 4 . . PUNCT cana-4155 232 1 130584130600 130584130600 NUM cana-4155 232 2 , , PUNCT cana-4155 232 3 2023 2023 NUM cana-4155 232 4 , , PUNCT cana-4155 232 5 doi doi NOUN cana-4155 232 6 : : PUNCT cana-4155 232 7 10.1109 10.1109 NUM cana-4155 232 8 / / SYM cana-4155 232 9 access.2023.3334434 access.2023.3334434 NOUN cana-4155 232 10 . . PUNCT cana-4155 233 1 7 7 X cana-4155 233 2 . . X cana-4155 233 3 m. m. NOUN cana-4155 233 4 ghaffari ghaffari PROPN cana-4155 233 5 , , PUNCT cana-4155 233 6 a. a. PROPN cana-4155 233 7 sowmya sowmya PROPN cana-4155 233 8 and and CCONJ cana-4155 233 9 r. r. PROPN cana-4155 233 10 oliver oliver PROPN cana-4155 233 11 , , PUNCT cana-4155 233 12 " " PUNCT cana-4155 233 13 automated automated ADJ cana-4155 233 14 brain brain NOUN cana-4155 233 15 tumor tumor NOUN cana-4155 233 16 segmentation segmentation NOUN cana-4155 233 17 using use VERB cana-4155 233 18 multimodal multimodal NOUN cana-4155 233 19 brain brain NOUN cana-4155 233 20 scans scan NOUN cana-4155 233 21 : : PUNCT cana-4155 233 22 a a DET cana-4155 233 23 survey survey NOUN cana-4155 233 24 based base VERB cana-4155 233 25 on on ADP cana-4155 233 26 models model NOUN cana-4155 233 27 submitted submit VERB cana-4155 233 28 to to ADP cana-4155 233 29 the the DET cana-4155 233 30 brats brat NOUN cana-4155 233 31 2012–2018 2012–2018 NUM cana-4155 233 32 challenges challenge NOUN cana-4155 233 33 , , PUNCT cana-4155 233 34 " " PUNCT cana-4155 233 35 in in ADP cana-4155 233 36 ieee ieee NOUN cana-4155 233 37 reviews review NOUN cana-4155 233 38 in in ADP cana-4155 233 39 biomedical biomedical ADJ cana-4155 233 40 engineering engineering NOUN cana-4155 233 41 , , PUNCT cana-4155 233 42 vol vol NOUN cana-4155 233 43 . . PROPN cana-4155 233 44 13 13 NUM cana-4155 233 45 , , PUNCT cana-4155 233 46 pp pp ADJ cana-4155 233 47 . . PUNCT cana-4155 234 1 156 156 NUM cana-4155 234 2 - - SYM cana-4155 234 3 168 168 NUM cana-4155 234 4 , , PUNCT cana-4155 234 5 2020 2020 NUM cana-4155 234 6 , , PUNCT cana-4155 234 7 doi doi NOUN cana-4155 234 8 : : PUNCT cana-4155 234 9 10.1109 10.1109 NUM cana-4155 234 10 / / SYM cana-4155 234 11 rbme.2019.2946868 rbme.2019.2946868 NOUN cana-4155 234 12 . . PUNCT cana-4155 235 1 communications communication NOUN cana-4155 235 2 on on ADP cana-4155 235 3 applied apply VERB cana-4155 235 4 nonlinear nonlinear ADJ cana-4155 235 5 analysis analysis NOUN cana-4155 235 6 issn issn NOUN cana-4155 235 7 : : PUNCT cana-4155 235 8 1074 1074 NUM cana-4155 235 9 - - PUNCT cana-4155 235 10 133x 133x NUM cana-4155 235 11 vol vol NOUN cana-4155 235 12 32 32 NUM cana-4155 235 13 no no NOUN cana-4155 235 14 . . PUNCT cana-4155 236 1 9s 9s NUM cana-4155 236 2 ( ( PUNCT cana-4155 236 3 2025 2025 NUM cana-4155 236 4 ) ) PUNCT cana-4155 236 5 1387 1387 NUM cana-4155 236 6 https://internationalpubls.com https://internationalpubls.com X cana-4155 236 7 8 8 NUM cana-4155 236 8 . . PUNCT cana-4155 237 1 s. s. PROPN cana-4155 237 2 m. m. PROPN cana-4155 237 3 alqhtani alqhtani PROPN cana-4155 237 4 et et PROPN cana-4155 237 5 al al PROPN cana-4155 237 6 . . PROPN cana-4155 237 7 , , PUNCT cana-4155 237 8 " " PUNCT cana-4155 237 9 improved improved ADJ cana-4155 237 10 brain brain NOUN cana-4155 237 11 tumor tumor NOUN cana-4155 237 12 segmentation segmentation NOUN cana-4155 237 13 and and CCONJ cana-4155 237 14 classification classification NOUN cana-4155 237 15 in in ADP cana-4155 237 16 brain brain NOUN cana-4155 237 17 mri mri NOUN cana-4155 237 18 with with ADP cana-4155 237 19 fcm fcm PROPN cana-4155 237 20 - - ADJ cana-4155 237 21 svm svm ADJ cana-4155 237 22 : : PUNCT cana-4155 237 23 a a DET cana-4155 237 24 diagnostic diagnostic ADJ cana-4155 237 25 approach approach NOUN cana-4155 237 26 , , PUNCT cana-4155 237 27 " " PUNCT cana-4155 237 28 in in ADP cana-4155 237 29 ieee ieee NOUN cana-4155 237 30 access access NOUN cana-4155 237 31 , , PUNCT cana-4155 237 32 vol vol NOUN cana-4155 237 33 . . PROPN cana-4155 237 34 12 12 NUM cana-4155 237 35 , , PUNCT cana-4155 237 36 pp pp ADJ cana-4155 237 37 . . PUNCT cana-4155 238 1 61312 61312 NUM cana-4155 238 2 - - SYM cana-4155 238 3 61335 61335 NUM cana-4155 238 4 , , PUNCT cana-4155 238 5 2024 2024 NUM cana-4155 238 6 , , PUNCT cana-4155 238 7 doi doi NOUN cana-4155 238 8 : : PUNCT cana-4155 238 9 10.1109 10.1109 NUM cana-4155 238 10 / / SYM cana-4155 238 11 access.2024.3394541 access.2024.3394541 NOUN cana-4155 238 12 . . PUNCT cana-4155 239 1 9 9 X cana-4155 239 2 . . PUNCT cana-4155 239 3 y. y. PROPN cana-4155 239 4 zhuang zhuang PROPN cana-4155 239 5 , , PUNCT cana-4155 239 6 h. h. PROPN cana-4155 239 7 liu liu PROPN cana-4155 239 8 , , PUNCT cana-4155 239 9 e. e. PROPN cana-4155 239 10 song song PROPN cana-4155 239 11 and and CCONJ cana-4155 239 12 c. c. PROPN cana-4155 239 13 -c -c PROPN cana-4155 239 14 . . PROPN cana-4155 239 15 hung hung PROPN cana-4155 239 16 , , PUNCT cana-4155 239 17 " " PUNCT cana-4155 239 18 a a DET cana-4155 239 19 3d 3d NUM cana-4155 239 20 cross cross ADJ cana-4155 239 21 - - ADJ cana-4155 239 22 modality modality ADJ cana-4155 239 23 feature feature NOUN cana-4155 239 24 interaction interaction NOUN cana-4155 239 25 network network NOUN cana-4155 239 26 with with ADP cana-4155 239 27 volumetric volumetric ADJ cana-4155 239 28 feature feature NOUN cana-4155 239 29 alignment alignment NOUN cana-4155 239 30 for for ADP cana-4155 239 31 brain brain NOUN cana-4155 239 32 tumor tumor NOUN cana-4155 239 33 and and CCONJ cana-4155 239 34 tissue tissue NOUN cana-4155 239 35 segmentation segmentation NOUN cana-4155 239 36 , , PUNCT cana-4155 239 37 " " PUNCT cana-4155 239 38 in in ADP cana-4155 239 39 ieee ieee PROPN cana-4155 239 40 journal journal PROPN cana-4155 239 41 of of ADP cana-4155 239 42 biomedical biomedical ADJ cana-4155 239 43 and and CCONJ cana-4155 239 44 health health NOUN cana-4155 239 45 informatics informatic NOUN cana-4155 239 46 , , PUNCT cana-4155 239 47 vol vol NOUN cana-4155 239 48 . . PROPN cana-4155 239 49 27 27 NUM cana-4155 239 50 , , PUNCT cana-4155 239 51 no no INTJ cana-4155 239 52 . . NOUN cana-4155 239 53 1 1 NUM cana-4155 239 54 , , PUNCT cana-4155 239 55 pp pp ADJ cana-4155 239 56 . . PUNCT cana-4155 240 1 75 75 NUM cana-4155 240 2 - - SYM cana-4155 240 3 86 86 NUM cana-4155 240 4 , , PUNCT cana-4155 240 5 jan jan PROPN cana-4155 240 6 . . PROPN cana-4155 240 7 2023 2023 NUM cana-4155 240 8 , , PUNCT cana-4155 240 9 doi doi NOUN cana-4155 240 10 : : PUNCT cana-4155 240 11 10.1109 10.1109 NUM cana-4155 240 12 / / SYM cana-4155 240 13 jbhi.2022.3214999 jbhi.2022.3214999 NOUN cana-4155 240 14 . . PUNCT cana-4155 241 1 10 10 NUM cana-4155 241 2 . . PUNCT cana-4155 241 3 c. c. PROPN cana-4155 241 4 yan yan PROPN cana-4155 241 5 , , PUNCT cana-4155 241 6 j. j. PROPN cana-4155 241 7 ding ding PROPN cana-4155 241 8 , , PUNCT cana-4155 241 9 h. h. PROPN cana-4155 241 10 zhang zhang PROPN cana-4155 241 11 , , PUNCT cana-4155 241 12 k. k. PROPN cana-4155 241 13 tong tong PROPN cana-4155 241 14 , , PUNCT cana-4155 241 15 b. b. PROPN cana-4155 241 16 hua hua PROPN cana-4155 241 17 and and CCONJ cana-4155 241 18 s. s. PROPN cana-4155 241 19 shi shi PROPN cana-4155 241 20 , , PUNCT cana-4155 241 21 " " PUNCT cana-4155 241 22 seresu seresu NOUN cana-4155 241 23 - - PUNCT cana-4155 241 24 net net NOUN cana-4155 241 25 for for ADP cana-4155 241 26 multimodal multimodal ADJ cana-4155 241 27 brain brain NOUN cana-4155 241 28 tumor tumor NOUN cana-4155 241 29 segmentation segmentation NOUN cana-4155 241 30 , , PUNCT cana-4155 241 31 " " PUNCT cana-4155 241 32 in in ADP cana-4155 241 33 ieee ieee NOUN cana-4155 241 34 access access NOUN cana-4155 241 35 , , PUNCT cana-4155 241 36 vol vol NOUN cana-4155 241 37 . . PROPN cana-4155 241 38 10 10 NUM cana-4155 241 39 , , PUNCT cana-4155 241 40 pp pp ADJ cana-4155 241 41 . . 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