Reduction of capsule endoscopy reading times by unsupervised image mining
Authors:
- D.K. IakovidisD.K. Iakovidis
- S. TsevasSTS. Tsevas
- A. PolydorouAPA. Polydorou
- 1 September 2010
- journal article
- Published by Elsevier in Computerized Medical Imaging and Graphics
- Vol. 34 (6) , 471-478
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Computer-based detection of bleeding and ulcer in wireless capsule endoscopy images by chromaticity momentsComputers in Biology and Medicine, 2009
- Computer-Aided Detection of Bleeding Regions for Capsule Endoscopy ImagesIEEE Transactions on Biomedical Engineering, 2009
- Capsule endoscopy: Technique and indicationsBest Practice & Research Clinical Gastroenterology, 2008
- A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos2008
- Wireless Capsule Endoscopy Color Video SegmentationIEEE Transactions on Medical Imaging, 2008
- The usage of soft-computing methodologies in interpreting capsule endoscopyEngineering Applications of Artificial Intelligence, 2007
- A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic imagesNeurocomputing, 2007
- MPEG-7 Visual Descriptors—Contributions for Automated Feature Extraction in Capsule EndoscopyIEEE Transactions on Circuits and Systems for Video Technology, 2006
- Role of video endoscopy in managing small bowel diseaseGut, 2004
- Wireless capsule endoscopyNature, 2000