Survey on Computational Techniques for Pigmented Skin Lesion Segmentation

Skin lesion segmentation is the first step in skin lesion assessment, and it can help with the following classification task. It is a complex job because the borders of pigment regions may be hazy and the whole lesion can sometimes be the same color. Therefore, this paper provides a comprehensive re...

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Bibliographic Details
Published in:Optical memory & neural networks 2022-12, Vol.31 (4), p.333-366
Main Authors: Shubhasis Khanra, Kuila, Maitreyee, Patra, Shibaprasad, Saha, Ramesh, Dhal, Krishna Gopal
Format: Article
Language:English
Subjects:
Complexity
Computer Science
Information Storage and Retrieval
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Summary:Skin lesion segmentation is the first step in skin lesion assessment, and it can help with the following classification task. It is a complex job because the borders of pigment regions may be hazy and the whole lesion can sometimes be the same color. Therefore, this paper provides a comprehensive review of the methodologies proposed in research papers published since 2017. Concerning the image segmentation task, the techniques were classified based on their principle of operation. The works are looked at with the help of certain datasets, year-by-year publications, performance evaluation measures, and other tools. The survey concluded that many researchers have successfully highlighted image segmentation of skin lesions; moreover, improved methods are needed to enhance the performance.
ISSN:1060-992X
1934-7898
DOI:10.3103/S1060992X2204004X