Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

Journal: Journal of digital imaging

Published Date: Apr 1, 2021

Abstract

PURPOSE: The objective of this paper was to develop a computer-aided diagnostic (CAD) tools for automated analysis of capsule endoscopic (CE) images, more precisely, detect small intestinal abnormalities like bleeding.

Authors

Tonmoy Ghosh

Department of Electrical and Computer Engineering, University of Alabama, Alabama, 35401, Tuscaloosa, USA. tghosh@crimson.ua.edu.
Jacob Chakareski

Department of Informatics, College of Computing , New Jersey Institute of Technology, Newark, 07103, New Jersey, USA.

Keywords

Capsule Endoscopy Deep Learning Gastrointestinal Hemorrhage Humans Image Processing, Computer-Assisted Intestine, Small Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (33728563)

Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

Abstract

Authors

Keywords

External Resources

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