This repository focuses on the application of Convolutional Neural Network (CNN) architectures for the classification of skin lesions. Four popular CNN models, namely EfficientNet-B3, VGG16, DenseNet, and Inception V3, have been implemented and evaluated on a dataset of skin lesion images.

Results

Phase 01

Models	Base Model	EfficientNet-B3	VGG16	DenseNet	Inception V3
Data Augmentation	False	False	False	False	False
Parameters	85,867	10,783,535	14,716,227	12,647,875	21,808,931
Depth	10	5	7	8	7
Validation	68%	72%	68%	73%	71%
Link	BM	EFB3	VGG16	IV3

Dataset

Melanoma Detection Dataset