Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis very significant can avoid some categories cancers, such as melanoma focal cell carcinoma. The recognition the classification malignant growth in beginning time expensive challenging. deep learning architectures recurrent networks convolutional neural (ConvNets) are developed past, which proven appropriate for non-handcrafted extraction complex features. To additional expand efficiency ConvNet models, a cascaded ensembled network that uses an integration handcrafted features based multi-layer perceptron proposed this work. This offered model utilizes mine image colour moments texture It demonstrated accuracy improved 98.3% from 85.3% model.