An Empirical Study on Image Segmentation Techniques for Detection of Skin Cancer

Sivaprakasam, S. Anantha and Kumar, V. Saravana and Arumugam, A. Senthil and Kavitha, M. (2021) An Empirical Study on Image Segmentation Techniques for Detection of Skin Cancer. Journal of Pharmaceutical Research International, 33 (10). pp. 71-81. ISSN 2456-9119

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Skin cancer is a crucial predicament in most of western countries including Europe, Australia and America. It is quite often curable whenever perceived and treated early. The significant hazard factors related are skin shading, deficiency of sun-lights, atmosphere, age, and hereditary. The most ideal approach to distinguish melanoma is to perceive another spot in the skin or recognize that is fluctuating in size, shape and shading. Early detection of skin malignancy can stay away from death. Finding of the skin ailment relies upon the extraction of the anomalous skin locale. Right now, methods to separate the skin injury districts are proposed and their outcomes are looked at dependent on the measurable and surface properties. In this study, the myriad kind of features of Dermoscopy image analysis has been thoroughly explores. Moreover, disparity segmentation techniques for detecting Melanoma Skin Cancer are discussed. The ultimate aim of this discussion is to provide suggestions for carrying a future research based about this relevance and limitations.

Item Type: Article
Subjects: Asian Repository > General Subject > Medical Science
0 Subject > Medical Science
Depositing User: Managing Editor
Date Deposited: 26 Oct 2022 04:21
Last Modified: 26 Oct 2022 04:21

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