Prediction Of Skin Cancer On Skin Lesion Images

Authors

  • R. Meenakshi

Abstract

A disease very dangerous caused mainly due to genetics is cancer in humans. It has alterations in molecules that too multiple alterations which causes instability in genes in a way leading to cancer. One of the reason for skin cancer in human is the above said one. There is a need to identify of any type at an early stage. Many techniques are many techniques available for this. Some of them are segmentation of the tumor area using feature extraction.A type of skin cancer called Malignant melanoma is mainly because of heavy amount of   Melanoma- Hier deposits in the skin especially in the dermis layer. This is detected using ABCD rule (Asymmetry Border Color Detection).In this proposed system an alteredmethodisused for identifying melanoma skin lesion.The steps in the proposed method are Image acquisition Pre-processing,Segmentation, Feature characterization, Classification.The classification techniques used are ABCD and Local Binary Pattern (LBP). Back Propagation Neural Network is used to classify the benign or malignant stage.

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Published

2020-01-19

Issue

Section

Articles