Combining a deformable model and a probabilistic framework for an automatic 3D segmentation of prostate on MRI

International Journal of Computer Assisted Radiology and Surgery

Volumn 4, Issue 2, 2009, Pages 181-188

  Makni, Nasr ^a,b   Puech, P ^a   Lopes, R ^a,b   Dewalle, A S ^a   Colot, O ^b   Betrouni, N ^a  

^a LILLE UNIVERSITY HOSPITAL   (France)

^b ECOLE CENTRALE DE LILLE   (France)

Author keywords

3D deformable model; Markov fields; Prostate cancer; Segmentation

Indexed keywords

ARTICLE; AUTOMATION; DIAGNOSTIC ACCURACY; HISTOGRAM; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; PROSTATE CANCER; PROSTATE HYPERTROPHY; RADIOLOGIST; THREE DIMENSIONAL IMAGING; TUMOR LOCALIZATION;

EID: 67349159076     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-008-0281-y     Document Type: Article

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