Prostate MRI segmentation using learned semantic knowledge and graph cuts

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 3, 2014, Pages 756-764

  Mahapatra, Dwarikanath ^a   Buhmann, Joachim M ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

Graph cuts; Markov random field (MRI); prostate segmentation; random forests (RFs); semantic information

Indexed keywords

GRAPH CUT; MARKOV RANDOM FIELDS; PROSTATE SEGMENTATION; RANDOM FORESTS; SEMANTIC INFORMATION;

COST FUNCTIONS; DECISION TREES; GRAPHIC METHODS; MARKOV PROCESSES; SEMANTICS; UROLOGY;

IMAGE SEGMENTATION;

ARTICLE; CLASSIFICATION; CLASSIFIER; GRAPH CUT; HUMAN; INFORMATION; MACHINE LEARNING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; PROSTATE; PROSTATE SEGMENTATION; RANDOM FOREST; SEMANTICS;

ALGORITHMS; DATABASES, FACTUAL; DECISION TREES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; PROSTATE; PROSTATIC NEOPLASMS; SEMANTICS;

EID: 84896849264     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2289306     Document Type: Article

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