Two segmentation methods for the diagnosis of malignant melanoma

Seungmin Park, Hyunju Lee, Kiwoon Kwon

Abstract


Automatic diagnosis of malignant melanoma highly depends on the segmentation methods used for the suspicious lesion. We suggest the parameter selection method (PSM) and maximum area method (MAM) for the segmentation of the lesion to be diagnosed. Herein, these segmentation methods are compared to a skin cancer expert’s segmentation and three other conventional algorithms. The diagnoses of malignant melanoma based on the two suggested, three conventional, and expert’s segmentation are compared with respect to sensitivity, specificity, and accuracy.

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Published: 2021-05-03

How to Cite this Article:

Seungmin Park, Hyunju Lee, Kiwoon Kwon, Two segmentation methods for the diagnosis of malignant melanoma, J. Math. Comput. Sci., 11 (2021), 3361-3376

Copyright © 2021 Seungmin Park, Hyunju Lee, Kiwoon Kwon. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

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