Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

Pathan, Sameena and Prabhu, G K and Siddalingaswamy, PC (2017) Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review. Biomedical Signal Processing and Control, 39 (1). pp. 237-262. ISSN 1746-8094

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Abstract

Computerized image analysis methods for dermoscopy are primarily of great interest and benefit, as it provides significant information about the lesion, which can be of pertinence for the clinicians and a stand-alone warning implement. Computer-based diagnostic systems require dedicated image processing algorithms to provide mathematical descriptions of the suspected regions, such systems hold a great potential in oncology. In this paper, we have performed a review of the state of art techniques used in computer-aided diagnostic systems, by giving the domain aspects of melanoma followed by the prominent techniques used in each of the steps. The steps include dermoscopic image pre-processing, segmentation, extraction and selection of peculiar features, and relegation of skin lesions. The paper also presents cognizance to judge the consequentiality of every methodology utilized in the literature, in addition to the corresponding results obtained in this perspective. The inadequacies and the future research directions are accentuated.

Item Type: Article
Uncontrolled Keywords: Acquisition, Classification, Dermoscopy, Melanoma, Pigmented skin lesions (PSLs), Segmentation
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 16 Sep 2017 08:26
Last Modified: 16 Sep 2017 08:26
URI: http://eprints.manipal.edu/id/eprint/149692

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