Automated detection of nonmelanoma skin cancer using digital images: a systematic review

BMC Medical Imaging
Arthur MarkaSaeed Hassanpour

Abstract

Computer-aided diagnosis of skin lesions is a growing area of research, but its application to nonmelanoma skin cancer (NMSC) is relatively under-studied. The purpose of this review is to synthesize the research that has been conducted on automated detection of NMSC using digital images and to assess the quality of evidence for the diagnostic accuracy of these technologies. Eight databases (PubMed, Google Scholar, Embase, IEEE Xplore, Web of Science, SpringerLink, ScienceDirect, and the ACM Digital Library) were searched to identify diagnostic studies of NMSC using image-based machine learning models. Two reviewers independently screened eligible articles. The level of evidence of each study was evaluated using a five tier rating system, and the applicability and risk of bias of each study was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. Thirty-nine studies were reviewed. Twenty-four models were designed to detect basal cell carcinoma, two were designed to detect squamous cell carcinoma, and thirteen were designed to detect both. All studies were conducted in silico. The overall diagnostic accuracy of the classifiers, defined as concordance with histopathologic diagnosis, was high, with reported ac...Continue Reading

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Citations

Apr 8, 2020·Dermatology and Therapy·Stephanie ChanWilson Liao
Aug 12, 2020·MMW Fortschritte der Medizin·Jennifer MarxDietrich Abeck
Jul 10, 2020·Journal of the American Academy of Dermatology·Ernest Y LeeDaniel Q Bach
Jun 12, 2021·Indian Journal of Dermatology, Venereology and Leprology·Varadraj Vasant Pai, Rohini Bhat Pai
Aug 25, 2021·Journal of Biophotonics·Mihaela Antonina Calin, Sorin Viorel Parasca
Feb 9, 2020·Annales de dermatologie et de vénéréologie·M Bagot

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Methods Mentioned

BETA
biopsies
biopsy

Software Mentioned

Google Scholar
QUADAS
Quality Assessment of Diagnostic Accuracy Studies (
PRISMA
Embase
MelaFind

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