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Image classification of bowel abnormalities and ischemia
Aizu Research Cluster for Medical Engineering and Informatics The University of Aizu, Aizu-Wakamatsu, Fukushima 965-8580, Japan.ORCID iD: 0000-0002-4255-5130
Teikyo University, Tokyo 173-8606, Japan.
Aizu Research Cluster for Medical Engineering and Informatics The University of Aizu, Aizu-Wakamatsu, Fukushima 965-8580, Japan.
Teikyo University, Tokyo 173-8606, Japan.
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2014 (English)Conference paper (Refereed)Text
Abstract [en]

Intestinal abnormalities and ischemia are medical conditions in which inflammation and injury of the intestine are caused by inadequate blood supply. Developments of computerized systems for the automated identification of these types of complex gastrointestinal disorders are rarely reported. In this paper, we introduce a mapping model of spatial uncertainty in computed tomography images for feature extraction, which can be effectively applied for diagnostic detection. Experimental results obtained from the analysis of clinical data suggest the usefulness of the proposed uncertainty mapping model.

Place, publisher, year, edition, pages
2014. 2764-2768 p.
Keyword [en]
Intestinal abnormalities, Computed tomography, Indicator kriging, Pattern classification
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-128582DOI: 10.1109/ICIP.2014.7025559OAI: oai:DiVA.org:liu-128582DiVA: diva2:935125
Conference
2014 IEEE International Conference on Image Processing (ICIP). 27-30 Oct. 2014, Paris
Available from: 2016-06-10 Created: 2016-05-25 Last updated: 2016-06-27

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Pham, Tuan D
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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