Classifying Skin lesions into Seven class using Deep Convolutional Neural Networks

The skin is the massive organ in the body which defend against germs, regulates body temperature and provides sensation of touch. Taking into consideration of beauty and health the skin should be cared and protected. skin lesions are bumps or patches on skin which should be diagnosed quickly because some can be cancerous. skin cancer begins at epidermis the top skin layer. In this work an ensemble method is used for skin lesion classification. The dataset used are HAM1000(Human Against Macine) and ISIC(International Skin Imaging Collaboration).Preprocessing is the done on images to get good resolution images. Feature extraction is done with the help of neural networks. Finally an ensemble method is used for skin lesion classification.