Automated histological classification of whole slide images of colorectal biopsy specimens.

ABSTRACT:

Background

An automated image analysis system, e-Pathologist, was developed to improve the quality of colorectal biopsy diagnostics in routine pathology practice.

Objective

The aim of the study was to evaluate the classification accuracy of the e-Pathologist image analysis software in the setting of routine pathology practice in two institutions.

Materials and methods

In total, 1328 colorectal tissue specimens were consecutively obtained from two hospitals (1077 tissues from Tokyo hospital, and 251 tissues from East hospital) and the stained specimen slides were anonymized and digitized. At least two experienced gastrointestinal pathologists evaluated each slide for pathological diagnosis. We compared the 3-tier classification results (carcinoma or suspicion of carcin

SUBMITTER: Yoshida H 

PROVIDER: S-EPMC5710880 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature