Incidence Rate Of Skin Cancer

1095 WordsMar 14, 20155 Pages
Abstract: Incidence rate of skin cancer are increasing day by day. Skin cancer is one of the deadliest forms of cancer but detected earlier can save the life time of the human being. An automated screening system is introduced to identify the presence of skin cancer in advance. In this paper, texture distinctiveness lesion segmentation algorithm is used. Experience and training-based characteristics of back propagation neural network is used with texture distinctiveness lesion segmentation algorithm, for identifying the normal and abnormal portions of skin .The most commonly occurring skin cancers are Melanoma, Basal and squamous cell carcinoma and actinic keratosis. The proposed system is to diagnose the presence of these skin cancers with high segmentation accuracy. Keywords: Melanoma, segmentation, skin cancer, texture, neural network. 1. INTRODUCTION Cancer is a life threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations [1] [2].Present diagnostic and prognostic classifications are insufficient to make prediction for successful treatment and patient outcome [3] [4].Among many types of cancer, Skin cancers are the most common form of cancers in human [5]. The common types of skin cancers are melanoma, basal and squamous cell carcinoma, and Actinic Keratosis [6].Digital Dermoscopy is widely considered as one of the most cost effective method to identify and classify skin-cancer. The rate of detection of melanoma
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