id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
aiti-9488	Saumya Salian; Sudhir Sawarkar	Skin Lesion Classification towards Melanoma Detection Using EfficientNetB3	2023	14	.pdf	application/pdf	6252	369	49	58.00 58.00 Model 2 57.00 56.67 53.00 56.00 Model 3 86.00 85.75 85.00 86.00 Model 4 (Proposed model) 88.00 88.13 88.00 88.00 Table 3 provides the result analyses of the above models on the ISIC dataset. Pre-trained models, namely ResNet-50, AlexNet, and GoogleNet were adopted to extract features from the MED-NODE dataset, which achieved an accuracy of 0.90.	cache/aiti-9488.pdf	txt/aiti-9488.txt