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

ABSTRACT: BACKGROUND: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. METHODS: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

SUBMITTER: Marka A 

PROVIDER: S-EPMC6394090 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature