Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.
Journal:
Gastroenterology
PMID:
32060000
Abstract
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objective, and real-time analysis of endoscopic images from patients with UC.
Authors
Keywords
Adolescent
Adult
Aged
Aged, 80 and over
Biopsy
Colitis, Ulcerative
Colon
Colonoscopy
Databases, Factual
Deep Learning
Diagnosis, Computer-Assisted
Female
Humans
Image Interpretation, Computer-Assisted
Male
Middle Aged
Predictive Value of Tests
Prospective Studies
Remission Induction
Reproducibility of Results
Severity of Illness Index
Treatment Outcome
Wound Healing
Young Adult