Literature DB >> 29894523

Enhanced melanoma diagnosis with multispectral digital skin lesion analysis.

Aaron S Farberg1, Alex M Glazer2, Richard R Winkelmann3, Natalie Tucker4, Richard White5, Darrell S Rigel6.   

Abstract

Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.

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Year:  2018        PMID: 29894523

Source DB:  PubMed          Journal:  Cutis        ISSN: 0011-4162


  1 in total

1.  Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Authors:  Michael A Marchetti; Konstantinos Liopyris; Stephen W Dusza; Noel C F Codella; David A Gutman; Brian Helba; Aadi Kalloo; Allan C Halpern
Journal:  J Am Acad Dermatol       Date:  2019-07-12       Impact factor: 11.527

  1 in total

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