A Meta Registration Framework for Lesion Matching
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Analysis of Crohn's disease lesions in capsule endoscopy images
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Interactive labeling of WCE images
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Bleeding Detection in Wireless Capsule Endoscopy Based on Probabilistic Neural Network
Journal of Medical Systems
Capsule endoscopy image analysis using texture information from various colour models
Computer Methods and Programs in Biomedicine
| Hi-index | 0.00 |
Capsule Endoscopy(CE) is a new modality for convenient and accurate investigation of small bowel pathology including obscure gastrointestinal bleeding. In this paper, we present a method for automatic detection of the bleeding region for a new high performance CE system with a new feature index in CE. The CE transmits 3 images per second to the receiver for about 10 hours. Over 100,000 images are recorded to the receiver. Typically, viewing such a large amount of images gives clinicians a significant burden [3]. We propose a technique to detect the bleeding automatically, utilizing the color spectrum transformation method and morphological filtering. Also, we can decide bleeding sites effectively through continuous image detection.