Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields

IEEE Transactions on Image Processing

Volumn 19, Issue 9, 2010, Pages 2444-2455

  Artan, Yusuf ^a   Haider, Masoom A ^b,c   Langer, Deanna L ^b,c   Van Der Kwast, Theodorus H ^d   Evans, Andrew J ^d   Yang, Yongyi ^a   Wernick, Miles N ^a   Trachtenberg, John ^b,e   Yetik, Imam Samil ^a  

^a ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

^b MOUNT SINAI HOSPITAL   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d TORONTO GENERAL HOSPITAL   (Canada)

^e UNIVERSITY OF TORONTO   (Canada)

Author keywords

Automatic segmentation; conditional random fields (CRF); multispectral magnetic resonance imaging (MRI); prostate cancer localization; support vector machine (SVM)

Indexed keywords

AUTOMATIC SEGMENTATIONS; CONDITIONAL RANDOM FIELDS (CRF); MULTI-SPECTRAL; PROSTATE CANCERS; SUPPORT VECTOR MACHINE (SVM);

BIOPSY; CHARACTER RECOGNITION; CONTENT BASED RETRIEVAL; COSTS; DISEASES; GEARS; IMAGE SEGMENTATION; POPULATION STATISTICS; RESONANCE; SUPPORT VECTOR MACHINES; ULTRASONIC APPLICATIONS; VECTORS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; HUMAN; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; PROSTATE TUMOR; RECEIVER OPERATING CHARACTERISTIC;

ALGORITHMS; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; PROSTATIC NEOPLASMS; ROC CURVE;

EID: 77955823071     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2048612     Document Type: Article

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