Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma

Authors

  • R Veeralakshmi Manonmanium Sundaranar University, Abishekapatti, Tirunelveli-12, Tamilnadu, India
  • T Ratha Jeyalakshmi Manonmanium Sundaranar University, Abishekapatti, Tirunelveli-12, Tamilnadu, India

Keywords:

Machine Learning, Melanoma, grab- Cut, Median filtering, Segmentation, Preprocessing

Abstract

Collected data directly from examples, data, and past experience is called Machine Learning. Cancer diagnosing could be an extremely difficult field in Machine Learning. Skin cancer is nothing but it be a dangerous disease associated it’s found as an uncontrolled growth of abnormal skin cells. Image enhancement method is utilized to remove unwanted scales (median filtering and salt and pepper technique) in image. Then the projected methodology helps in the section of cancer footage. Finally, Principal component Analysis is employed to concentrates on the melanoma’s exists and Grab cut methodology is utilized for the feature extraction of melanoma mole from skin.

References

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Published

2025-11-25

How to Cite

[1]
R. Veeralakshmi and T. R. Jeyalakshmi, “Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma”, Int. J. Comp. Sci. Eng., vol. 7, no. 16, pp. 51–54, Nov. 2025.

Issue

Vol. 7 No. 16 (2019): IJCSE Special Issue May Edition

Section

Research Article

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