Skin Cancer Disease Detection Using Image Processing Techniques

Authors

  • Dure Sameen
  • Irsa Faryal
  • Dr. Hameedur Rahman

DOI:

https://doi.org/10.5281/zenodo.5148278

Keywords:

Skin Cancer, Image Processing Techniques, Melanoma, Basal, Squamous, ABCD, MATLAB

Abstract

Detection of skin cancer disease is very important in early stage. In these days, Skin cancer is most dangerous, a type of man-made cancers. Skin cancer occurs in various forms such as melanoma, basal cells of which, the most impredicatable

is Melanoma. Early cancer diagnosis can be effective in treating it in the diagnosis of Medical Picture. In this study we present a MATLAB cancer detection programme using image techniques for production. It tells us about cancer's existence. The analysis software lesion image tests for different parameters of melamine such as Asymmetry, Boundary, Colour, Diameter are calculated for texture and shape analysis, edge detection and other levels of feature. The result derived from software is nearly to identify an image as a non-cancerous and cancerous skin.

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Published

2020-10-06

How to Cite

Dure Sameen, Irsa Faryal, & Dr. Hameedur Rahman. (2020). Skin Cancer Disease Detection Using Image Processing Techniques. LC International Journal of STEM (ISSN: 2708-7123), 1(3), 50-58. https://doi.org/10.5281/zenodo.5148278