An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images
Abstract
References
Index Terms
- An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images
Recommendations
Quantitative measurements in capsule endoscopy
This review summarizes several approaches for quantitative measurement in capsule endoscopy. Video capsule endoscopy (VCE) typically provides wireless imaging of small bowel. Currently, a variety of quantitative measurements are implemented in ...
Abnormalities detection in wireless capsule endoscopy images using EM algorithm
AbstractIn this paper, a novel method is proposed to detect common abnormalities in Wireless Capsule Endoscopy (WCE) video frames including Lymphoid Hyperplasia, ulcer, and angiodysplasia lesions. Inspecting WCE video frames to detect abnormality is a ...
Learning disease severity for capsule endoscopy images
ISBI'09: Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to MacroWireless capsule endoscopy (CE) is increasing being used to assess several gastrointestinal(GI) diseases and disorders. Current clinical methods are based on subjective evaluation of images. In this paper, we develop a method for ranking lesions ...
Comments
Information & Contributors
Information
Published In
Publisher
Plenum Press
United States
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in