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Automatic blood detection in capsule endoscopy video
A. Novozámský, J. Flusser, I. Tachecí, L. Sulík, J. Bureš, O. Krejcar,
Language English Country United States
Document type Journal Article
NLK
PubMed Central
from 2009
Europe PubMed Central
from 2009 to 1 year ago
ROAD: Directory of Open Access Scholarly Resources
from 1998
- MeSH
- Algorithms MeSH
- Gastrointestinal Hemorrhage diagnostic imaging MeSH
- Image Interpretation, Computer-Assisted methods MeSH
- Capsule Endoscopy methods MeSH
- Blood diagnostic imaging MeSH
- Humans MeSH
- Intestine, Small diagnostic imaging MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
We propose two automatic methods for detecting bleeding in wireless capsule endoscopy videos of the small intestine. The first one uses solely the color information, whereas the second one incorporates the assumptions about the blood spot shape and size. The original idea is namely the definition of a new color space that provides good separability of blood pixels and intestinal wall. Both methods can be applied either individually or their results can be fused together for the final decision. We evaluate their individual performance and various fusion rules on real data, manually annotated by an endoscopist.
References provided by Crossref.org
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- $a We propose two automatic methods for detecting bleeding in wireless capsule endoscopy videos of the small intestine. The first one uses solely the color information, whereas the second one incorporates the assumptions about the blood spot shape and size. The original idea is namely the definition of a new color space that provides good separability of blood pixels and intestinal wall. Both methods can be applied either individually or their results can be fused together for the final decision. We evaluate their individual performance and various fusion rules on real data, manually annotated by an endoscopist.
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- $a Tachecí, Ilja $u Charles University, Second Department of Internal Medicine-Gastroenterology, Faculty of Medicine and University Hospital, Sokolská 581, Hradec Králové 500 05, Czech Republic.
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- $a Sulík, Lukáš $u University of Hradec Králové, Center for Basic and Applied Research, Faculty of Informatics and Management, Hradecká 1249, Hradec Králové 500 03, Czech Republic.
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- $a Bureš, Jan $u Charles University, Second Department of Internal Medicine-Gastroenterology, Faculty of Medicine and University Hospital, Sokolská 581, Hradec Králové 500 05, Czech Republic.
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- $a Krejcar, Ondrej $u University of Hradec Králové, Center for Basic and Applied Research, Faculty of Informatics and Management, Hradecká 1249, Hradec Králové 500 03, Czech Republic.
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