IMPLEMENTATION OF SUPERVISED LEARNING FOR MELANOMA DETECTION USING IMAGE PROCESSING

Siddiq Iqbal, Sophia.M, Divyashree.J.A, Mallikarjun Mundas, Vidya.R

Abstract: Among the different types of skin cancers, Melanoma is one of the most threatening type of cancer. This cancer is most often caused due to over exposure to ultraviolet radiation from the sun which causes unrepaired DNA damage to skin cells which further develops into cancerous tumours. This unrepaired damage to the skin usually affects the melanocytes, which are skin cells containing a pigment called melanin which is responsible for the colour of the skin, hence the name melanoma. If melanoma is recognised in the early stages it is proven to be curable. If not, the cancer advances and spreads to all other parts of the body and becomes incurable leading to death. One of the traditional methods of analysing melanoma is biopsy, which is a painful and time consuming process. To overcome this we have implemented a computer aided method for automatic melanoma detection and classification of Dermoscopic skin images with the help of Digital Image Processing and Artificial Intelligence. This paper proposes that using artificial intelligence for Melanoma detection increases the accuracy of classification.

Keywords: Melanoma, ultraviolet, tumor, biopsy, asymmetry, computer aided, image processing, artificial intelligence

DOI: https://doi.org/10.15623/ijret.2015.0406055