Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI

Medical Physics

Volumn 37, Issue 4, 2010, Pages 1873-1883

  Ozer, Sedat ^a   Langer, Deanna L ^b,c   Liu, Xin ^a   Haider, Masoom A ^b,c   Van Der Kwast, Theodorus H ^d   Evans, Andrew J ^d   Yang, Yongyi ^a   Wernick, Miles N ^a   Yetik, Imam S ^a  

^a Illinois Institute of Technology   (United States)

^b PRINCESS MARGARET HOSPITAL   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d TORONTO GENERAL HOSPITAL   (Canada)

Author keywords

Fuzzy segmentation; Markov random fields; Multispectral MRI; Prostate cancer localization; Relevance vector machine; Support vector machine; Threshold selection

Indexed keywords

AUTOMATION; DISEASES; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPPORT VECTOR MACHINES; ULTRASONIC APPLICATIONS; UROLOGY; VECTORS;

FUZZY SEGMENTATION; MARKOV RANDOM FIELDS; MULTISPECTRAL MRIS; PROSTATE CANCERS; RELEVANCE VECTOR MACHINE; THRESHOLD SELECTION;

LEARNING SYSTEMS;

EID: 77950584818     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3359459     Document Type: Article

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