This repo includes classifier trained to distinct 7 type of skin lesions.

Dataset consists of 10015 images which describe 7 type of lesions. Dataset includes images of following 7 skin lesions:

• Actinic keratoses and intraepithelial carcinoma / Bowen's disease (akiec)
• basal cell carcinoma (bcc)
• benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses, bkl)
• dermatofibroma (df)
• melanoma (mel)
• melanocytic nevi (nv)
• vascular lesions (angiomas, angiokeratomas, pyogenic granulomas and hemorrhage, vasc)

Dataset link

The following CNN models are used:

• InceptionV3
• Resnet152
• VGG19
• Xception
• Ensemble

Out of all the algorithms used, Ensemble of Xception, Resnet152, InceptionV3 gives the best accuracy of 0.8753.