YOLO networks for polyp detection: A human-in-the-loop training approach

YOLO networks for polyp detection: A human-in-the-loop training approach

Introduction: Early detection of adenomas and polyps is one central goal of colonoscopic screening programs. As the adenoma detection rate (ADR) depends on the experience of the endoscopist, AI-based polyp detection systems can be used for real-time assistance. Hence, to support the physicians such...

Full description

Bibliographic Details
Main Authors: Eixelberger Thomas, Wolkenstein Gabriel, Hackner Ralf, Bruns Volker, Mühldorfer Steffen, Geissler Udo, Belle Sebastian, Wittenberg Thomas
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
colonoscopy
polyp detection
yolo networks
deep learning
Online Access:https://doi.org/10.1515/cdbme-2022-1071

Internet

https://doi.org/10.1515/cdbme-2022-1071

Similar Items