Hybrid convolutional neural networks with SVM classifier for classification of skin cancer

The dermatologist widely uses digital dermoscopy for the detection of melanoma. The accurate detection of melanoma by clinicians is subjective and further depends on their experience. Fully automated computer-aided diagnosis systems are necessary to eliminate the inter-operator variability inherent in the personal analysis of dermoscopy images.

Automated skin lesion classification is challenging because of the fine-grained difference in the appearance of these lesions on the skin surface. Deep Convolutional neural network (CNN) have shown great separability across many fine-grained object classes.