Multifeature landmark-free active appearance models: Application to prostate MRI segmentation

IEEE Transactions on Medical Imaging

Volumn 31, Issue 8, 2012, Pages 1638-1650

  Toth, Robert ^a   Madabhushi, Anant ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

Active appearance models; active shape models; levelsets; principal component analysis (PCA); prostate segmentation

Indexed keywords

ACTIVE APPEARANCE MODELS; ACTIVE SHAPE MODELS; ALTERNATIVE APPROACH; GRADIENT INFORMATIONS; LEVEL SET; LEVEL SETS; MEDICAL IMAGE SEGMENTATION; MRI SEGMENTATION; MULTIPLE IMAGE; OBJECT OF INTERESTS; PROSTATE SEGMENTATION; RECENT STATE; SEGMENTATION PROCESS; SEGMENTATION RESULTS; SHAPE INFORMATION; SIGNED DISTANCE; STATE OF THE ART; SURFACE ERROR;

MEDICAL IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; UROLOGY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; FACTUAL DATABASE; HISTOLOGY; HUMAN; IMAGE PROCESSING; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PROSTATE; STATISTICAL MODEL;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS; PROSTATE;

EID: 84864599976     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2012.2201498     Document Type: Article

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