IJSTR >> Volume 8 - Issue 12, December 2019 Edition

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AUTHOR(S)

Dr.P.Tamije Selvy, N.Shabarish, M. Anitha

KEYWORDS

Computer Aided Diagnosis, Melanoma, Region of Interest, Skin Cancer, Adaptive Regularized Kernel Based Fuzzy

ABSTRACT

Skin cancer is found to be the worst type of cancer which is generally difficult to predict in early stages. In recent days, it has been proved that Computer Aided Diagnosis (CAD) System provides best result in automatic diagnosis of lesions in skin. The purpose of this research paper is early and automatic diagnosis of lesions in skin. Preprocessing, Segmentation by Adaptive Regularized Kernel Based Fuzzy and feature extraction is done in order to achieve a rapid and reliable diagnosis. This proposed work is implemented on 232 images obtained from International Skin Imaging Collaboration (ISIC) archive.

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