Image classification of bowel abnormalities and ischemia

Author

Pham, Tuan D. ; Tsunoyama, Taichiro ; Thang, Truong C. ; Fujita, Takashi ; Sakamoto, Takanori

Author_Institution

Aizu Res. Cluster for Med. Eng. & Inf., Univ. of Aizu, Aizu-Wakamatsu, Japan

fYear

2014

fDate

27-30 Oct. 2014

Firstpage

2764

Lastpage

2768

Abstract

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.

Keywords

computerised tomography; feature extraction; image classification; medical disorders; medical image processing; automated identification; bowel abnormality; computed tomography image; computerized systems; diagnostic detection; feature extraction; gastrointestinal disorders; image classification; inadequate blood supply; intestinal abnormality; intestine inflammation; intestine injury; ischemia; spatial uncertainty; uncertainty mapping model; Attenuation; Computed tomography; Feature extraction; Medical diagnostic imaging; Pattern recognition; Uncertainty; Computed tomography; Indicator kriging; Intestinal abnormalities; Pattern classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2014 IEEE International Conference on

Conference_Location

Paris

Type

conf

DOI

10.1109/ICIP.2014.7025559

Filename

7025559