id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cuesj-1390	Hama Salih, Raz M.; Mahmood, Saman H.	Application of Support Vector Machines Kernel Functions for Breast Cancer Detection and Classification: A Comparative Study	2025	6	.pdf	application/pdf	4663	236	46	In this respect, therefore, the present work meets this gap in the literature by comparing the different types of SVM kernels in-depth, as much as possible, and intends to determine which kernel best fits the purpose of detecting and classifying breast cancer, including the discussion of advantages and disadvantages associated with each kernel. Therefore, the literature demonstrates the need to conduct a systematic study of different SVM kernels by using publicly available datasets related to breast cancer.	cache/cuesj-1390.pdf	txt/cuesj-1390.txt