Learning image context for segmentation of the prostate in CT-guided radiotherapy

Physics in Medicine and Biology

Volumn 57, Issue 5, 2012, Pages 1283-1308

  Li, Wei ^a,b   Liao, Shu ^b   Feng, Qianjin ^a   Chen, Wufan ^a   Shen, Dinggang ^b  

^a SOUTHERN MEDICAL UNIVERSITY   (China)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; COMPUTER TOMOGRAPHY IMAGES; CT IMAGE; DIFFERENT SCALE; DISTANCE VALUES; EXTERNAL BEAM RADIOTHERAPY; IMAGE CONTRASTS; IMAGE SPACE; PROSTATE CANCERS; PROSTATE SEGMENTATION; SEGMENTATION ACCURACY; STATIC IMAGES;

COMPUTERIZED TOMOGRAPHY; IMAGE QUALITY; IMAGE SEGMENTATION; RADIOTHERAPY; TISSUE; UROLOGY;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; COMPUTER ASSISTED RADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; HUMAN; IMAGE PROCESSING; MALE; METHODOLOGY; MOTION; ONCOLOGY; PROSTATE; PROSTATE TUMOR; RADIOGRAPHY; RADIOTHERAPY; REPRODUCIBILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MODELS, STATISTICAL; MOTION; PROSTATE; PROSTATIC NEOPLASMS; RADIATION ONCOLOGY; RADIOTHERAPY; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84857552799     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/57/5/1283     Document Type: Article

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