Open AccessDifferentiation Between Malignant and Benign Endoscopic Images of Gastric Ulcers Using Deep Learning
Author(s) -
Eyal Klang,
Yiftach Barash,
Asaf Levartovsky,
Noam Barkin Lederer,
Adi Lahat
Publication year - 2021
Publication title -
clinical and experimental gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.113
H-Index - 30
ISSN - 1178-7023
DOI - 10.2147/ceg.s292857
Subject(s) - medicine , histopathology , convolutional neural network , deep learning , radiology , endoscopy , artificial intelligence , pathology , computer science
Endoscopic differentiation between malignant and benign gastric ulcers (GU) affects further evaluation and prognosis. The aim of our study was to evaluate a deep learning algorithm for discrimination between benign and malignant GU in a database of endoscopic ulcer images.