Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology.

ABSTRACT: We developed a computer-aided diagnosis (CAD) system based on linked color imaging (LCI) images to predict the histological results of polyps by analyzing the colors of the lesions. A total of 139 images of adenomatous polyps and 69 images of non-adenomatous polyps obtained from our hospital were collected and used to train the CAD system. A test set of LCI images, including both adenomatous and non-adenomatous polyps, was prospectively collected from patients who underwent colonoscopies between Oct and Dec 2017; this test set was used to assess the diagnostic abilities of the CAD system compared to those of human endoscopists (two experts and two novices). The accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of this novel CAD system f

SUBMITTER: Min M 

PROVIDER: S-EPMC6393495 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature