Knowledge-based quantification of pericardial fat in non-contrast CT data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Yalamanchili, Raja ^a   Dey, Damini ^b   Kukure, Uday ^a   Nakazato, Ryo ^b   Berman, Daniel S ^b   Kakadiaris, Ioannis A ^a  

^a University of Houston   (United States)

^b CEDARS SINAI MEDICAL CENTER   (United States)

Author keywords

classification; non contrast CT; pericardial fat; SVM

Indexed keywords

AUTOMATED TOOLS; AUTOMATIC TOOLS; BINARY CLASSIFIERS; BINARY SVM; CARDIOVASCULAR RISK; CASCADED CLASSIFIERS; CLASSIFICATION; CLASSIFICATION APPROACH; CLINICAL ANALYSIS; COMPUTED TOMOGRAPHY; CORONARY CALCIUM; CT DATA; DISCRIMINATIVE FEATURES; EXPERT ANNOTATIONS; FALSE DETECTIONS; FALSE POSITIVE; IMPROVED METHODS; NON-CONTRAST CT; PERICARDIAL FAT; REGION OF INTEREST; SVM; TISSUE TYPES; VASCULAR CALCIFICATION;

BIOMINERALIZATION; CLASSIFIERS; HAMMING DISTANCE; HISTOLOGY; IMAGE PROCESSING; IMAGING SYSTEMS; KNOWLEDGE BASED SYSTEMS; MEDICAL IMAGING; TISSUE;

COMPUTERIZED TOMOGRAPHY;

EID: 79751496128     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.843867     Document Type: Conference Paper

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