Year: 2024
Type: article
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.
Institution: JSS Science and Technology University
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4403083463