Multiple abdominal organ segmentation: An atlas-based fuzzy connectedness approach

IEEE Transactions on Information Technology in Biomedicine

Volumn 11, Issue 3, 2007, Pages 348-352

  Zhou, Yongxin ^a   Bai, Jing ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Abdominal organs; Atlas based segmentation; Fuzzy connectedness (FC)

Indexed keywords

BIOLOGICAL ORGANS; DIGITAL WATERMARKING; FEATURE EXTRACTION; FUZZY SYSTEMS; IMAGE SEGMENTATION; MEDICAL IMAGING;

ABDOMINAL ORGANS; ATLAS-BASED SEGMENTATION; EUCLIDEAN DISTANCE; FUZZY CONNECTEDNESS (FC); WATERSHED SEGMENTATION;

BIOMEDICAL ENGINEERING;

ABDOMEN; ABDOMINAL RADIOGRAPHY; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION; FUZZY LOGIC; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MEDICAL ILLUSTRATION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VISCERA;

ABDOMEN; ALGORITHMS; ARTIFICIAL INTELLIGENCE; FUZZY LOGIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MEDICAL ILLUSTRATION; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED; VISCERA;

EID: 34248545650     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2007.892695     Document Type: Article

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