Impact of User’s Background Knowledge and Polyp Characteristics in Colonoscopy with Computer-Aided Detection

Impact of User’s Background Knowledge and Polyp Characteristics in Colonoscopy with Computer-Aided Detection

Background/Aims: We investigated how interactions between humans and computer-aided detection (CADe) systems are influenced by the user’s experience and polyp characteristics.Methods: We developed a CADe system using YOLOv4, trained on 16,996 polyp images from 1,914 patients and 1,800 synthesized se...

Full description

Bibliographic Details
Main Authors: Jooyoung Lee, Woo Sang Cho, Byeong Soo Kim, Dan Yoon, Jung Kim, Ji Hyun Song, Sun Young Yang, Seon Hee Lim, Goh Eun Chung, Ji Min Choi, Yoo Min Han, Hyoun-Joong Kong, Jung Chan Lee, Sungwan Kim, Jung Ho Bae
Format: Article
Language:English
Published: Gastroenterology Council for Gut and Liver 2024-09-01
Series:Gut and Liver
Subjects:
colonoscopy
polyps
artificial intelligence
Online Access:http://gutnliver.org/journal/view.html?doi=10.5009/gnl240068

Internet

http://gutnliver.org/journal/view.html?doi=10.5009/gnl240068

Similar Items