Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 58, Issue 10, Pages 2777-2786Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2011.2155064
Keywords
Bleeding; blood based; data mining; endoscopy; medical imaging; polyps; protrusions; small bowel; SUSAN edge detector; ulcers; wireless capsule
Categories
Funding
- American Institute of Indian Studies
Ask authors/readers for more resources
Over the last decade, wireless capsule endoscopy (WCE) technology has become a very useful tool for diagnosing diseases within the human digestive tract. Physicians using WCE can examine the digestive tract in a minimally invasive way searching for pathological abnormalities such as bleeding, polyps, ulcers, and Crohn's disease. To improve effectiveness of WCE, researchers have developed software methods to automatically detect these diseases at a high rate of success. This paper proposes a novel synergistic methodology for automatically discovering polyps (protrusions) and perforated ulcers in WCE video frames. Finally, results of the methodology are given and statistical comparisons are also presented relevant to other works.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available