Title :
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
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;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025559
