Research Article
An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 186 - Issue 41 |
| Published: September 2024 |
| Authors: Prasanna Ujjani Mutt, C.K. Roopa, B.S. Harish, M.S. Maheshan |
10.5120/ijca2024924011
|
Prasanna Ujjani Mutt, C.K. Roopa, B.S. Harish, M.S. Maheshan . An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques. International Journal of Computer Applications. 186, 41 (September 2024), 46-61. DOI=10.5120/ijca2024924011
@article{ 10.5120/ijca2024924011,
author = { Prasanna Ujjani Mutt,C.K. Roopa,B.S. Harish,M.S. Maheshan },
title = { An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques },
journal = { International Journal of Computer Applications },
year = { 2024 },
volume = { 186 },
number = { 41 },
pages = { 46-61 },
doi = { 10.5120/ijca2024924011 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2024
%A Prasanna Ujjani Mutt
%A C.K. Roopa
%A B.S. Harish
%A M.S. Maheshan
%T An Extensive Survey on Segmentation and Classification of Skin Lesions using AI Techniques%T
%J International Journal of Computer Applications
%V 186
%N 41
%P 46-61
%R 10.5120/ijca2024924011
%I Foundation of Computer Science (FCS), NY, USA
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.
References
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