An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques

This review of the literature covers more than 100 research articles from reputed journals, conferences, and workshops proceedings and offers a thorough examination of skin lesion segmentation and classification techniques from the year 2008 to the present.Two main parts of the survey are the segmentation of skin lesions and the subsequent classification of those lesions.It also covers different evaluation measures for algorithm and model assessment and provides a comprehensive collection of publicly available datasets.The three main techniques of diagnosis are clinical, dermatoscopic, and histopathologic.From clinical examination to the development of dermatoscopy and histology, it describes the progression of diagnostic procedures, stressing the significant contributions and difficulties encountered with each approach.Details of all the Artificial Intelligence techniques for segmentation and classification of skin lesions are summarized.

Authors

Publication Details

Journal
International Journal of Computer Applications
Published
2024-09-30
DOI
https://doi.org/10.5120/ijca2024924011
Citations
1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.28
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article

An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques

M. S. Maheshan, B.S. Harish, C.K. Roopa, Prasanna Ujjani Mutt
1 citations
International Journal of Computer Applications
Cutaneous Melanoma Detection and Management
0.28
article

An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques

M. S. Maheshan, B.S. Harish, C.K. Roopa, Prasanna Ujjani Mutt
article en
1 citations

Abstract

This review of the literature covers more than 100 research articles from reputed journals, conferences, and workshops proceedings and offers a thorough examination of skin lesion segmentation and classification techniques from the year 2008 to the present.Two main parts of the survey are the segmentation of skin lesions and the subsequent classification of those lesions.It also covers different evaluation measures for algorithm and model assessment and provides a comprehensive collection of publicly available datasets.The three main techniques of diagnosis are clinical, dermatoscopic, and histopathologic.From clinical examination to the development of dermatoscopy and histology, it describes the progression of diagnostic procedures, stressing the significant contributions and difficulties encountered with each approach.Details of all the Artificial Intelligence techniques for segmentation and classification of skin lesions are summarized.

International Journal of Computer ApplicationsVol. 186(41)
Openalex Percentile: Top 35%
Cutaneous Melanoma Detection and Management
0.28
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