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

Sameena Pathan, K. Gopalakrishna Prabhu, P. C. Siddalingaswamy

Research output: Contribution to journalReview articlepeer-review

176 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)237-262
Number of pages26
JournalBiomedical Signal Processing and Control
Publication statusPublished - 01-01-2018

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Health Informatics


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