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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 570-578

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

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

^b SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

Classification; Image context; Prostate segmentation; Radiotherapy

Indexed keywords

CLASSIFICATION METHODS; CT IMAGE; DIFFERENT SCALE; EXTERNAL BEAM RADIOTHERAPY; IMAGE CONTEXT; IMAGE CONTRASTS; ONLINE LEARNING; PROSTATE CANCERS; PROSTATE SEGMENTATION; SHAPE CHANGE;

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED INSTRUCTION; COMPUTERIZED TOMOGRAPHY; DISEASES; IMAGE QUALITY; MEDICAL COMPUTING; MEDICAL IMAGING; RADIOTHERAPY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; COMPUTER ASSISTED RADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; HUMAN; IMAGE PROCESSING; LEARNING; MALE; METHODOLOGY; PROSTATE; PROSTATE TUMOR; RADIOGRAPHY; RADIOTHERAPY; STATISTICAL MODEL;

ALGORITHMS; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEARNING; MALE; MODELS, STATISTICAL; PROSTATE; PROSTATIC NEOPLASMS; RADIOTHERAPY; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, CONFORMAL; TOMOGRAPHY, X-RAY COMPUTED;

EID: 82255183275     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_70     Document Type: Conference Paper

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