A Survey on Segmentation Techniques in Skin Cancer Images

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Babita Ingle, Prof. Anoop Tiwari

Abstract

Skin cancer is the most hazardous and a typical sort of growth. The deadliest type of skin tumor is melanoma. Because of the expenses for dermatologists to screen each patient, there is a requirement for an automated framework to assess a patient's danger of melanoma utilizing pictures of their skin sores caught utilizing dermatoscope. Division have significance to distinguish skin sore from pictures. Diverse technique for division of dermoscopic pictures of skin disease and other pigmented sores is introduced. Division is the grouping of the information picture into skin and non-skin pixels in light of skin surface. In this paper comprises of an audit of six unique kinds of skin sore division methods. Fundamental point of division is exactness, speed and computational productivity.

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How to Cite
, B. I. P. A. T. “A Survey on Segmentation Techniques in Skin Cancer Images”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 10, Oct. 2018, pp. 08-12, doi:10.17762/ijritcc.v6i10.5188.
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