Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning

Medical Image Analysis

Volumn 24, Issue 1, 2015, Pages 18-27

  Xu, Zhoubing ^a   Burke, Ryan P ^a   Lee, Christopher P ^a   Baucom, Rebeccah B ^b   Poulose, Benjamin K ^b   Abramson, Richard G ^b   Landman, Bennett A ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Atlas selection; Context learning; Multi atlas segmentation; SIMPLE

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; GRAPHIC METHODS; IMAGE SEGMENTATION; ITERATIVE METHODS;

ATLAS SELECTION; COMBINED SEGMENTATIONS; CONTEXT LEARNING; GRAPH-CUT TECHNIQUES; PROSTATE RADIOTHERAPY; SIMPLE; STATE-OF-THE-ART APPROACH; SURGICAL NAVIGATION;

COMPUTERIZED TOMOGRAPHY;

ABDOMINAL WALL HERNIA; ADRENAL GLAND; AORTA; ARTICLE; CLASSIFICATION; COMPUTER ASSISTED TOMOGRAPHY; ESOPHAGUS; GALLBLADDER; HUMAN; IMAGING AND DISPLAY; INFERIOR CAVA VEIN; KIDNEY; LIVER; LIVER CANCER; MAJOR CLINICAL STUDY; MULTI ATLAS ABDOMINAL SEGMENTATION; PANCREAS; PORTAL VEIN; PRIORITY JOURNAL; SPLEEN; SPLENIC VEIN; STOMACH; TREATMENT PLANNING; ABDOMINAL RADIOGRAPHY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; IMAGE ENHANCEMENT; LIVER TUMOR; MACHINE LEARNING; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; X-RAY COMPUTED TOMOGRAPHY;

ALGORITHMS; HUMANS; LIVER NEOPLASMS; MACHINE LEARNING; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84930947728     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2015.05.009     Document Type: Article

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