Melanoma Skin Cancer Classification Using Deep Learning Convolutional Neural Network
Keywords:Skin cancer, Computer Aided Diagnosis, Feature Extraction, Convolutional Neural Network
In the recent years skin cancer skin cancer is emerging as one of the most complex diseases in which
diagnosis is very challenging. Melanoma is generally characterized by the uncontrolled growth of body
cells which might be caused due to prolonged exposure to UV rays produced by sun. Skin cancer can be
categorized as basal cell carcinoma, squamous cell carcinoma and melanoma among which melanoma is
considered as the most difficult to detect and if detected on time, melanoma is curable. Computer vision
and Image processing toolboxes plays a pivotal portion in the field of medical imaging and diagnosis and
is widely used. This paper focuses on a computer aided tool for skin cancer detection (i.e. melanoma).
Dermoscopic images are used as inputs to the CAD system which is subjected to further image processing
in which segmentation, feature extraction and classification is done to finally to differentiate between normal
and melanoma images.