Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.

ABSTRACT:

Importance

Histologic classification of colorectal polyps plays a critical role in screening for colorectal cancer and care of affected patients. An accurate and automated algorithm for the classification of colorectal polyps on digitized histopathologic slides could benefit practitioners and patients.

Objective

To evaluate the performance and generalizability of a deep neural network for colorectal polyp classification on histopathologic slide images using a multi-institutional data set.

Design, setting, and participants

This prognostic study used histopathologic slides collected from January 1, 2016, to June 31, 2016, from Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, with 326 slides used for training, 157 slides for an internal data set, and 25 for a

SUBMITTER: Wei JW 

PROVIDER: S-EPMC7180424 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature