Fully automated 3D prostate central gland segmentation in MR images: A LOGISMOS based approach

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8314, Issue , 2012, Pages

  Yin, Yin ^a   Fotin, Sergei V ^a   Periaswamy, Senthil ^a   Kunz, Justin ^a   Haldankar, Hrishikesh ^a   Muradyan, Naira ^a   Turkbey, Baris ^b   Choyke, Peter ^b  

^a ICAD INC   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Graph search; LOGISMOS; Prostate central gland segmentation

Indexed keywords

AUTOMATED DIFFERENTIATION; CLINICAL APPLICATION; COARSE-TO-FINE; CROSS VALIDATION; DATA SETS; GRAPH SEARCH; HIGH INTENSITY; LARGE DATASETS; LOGISMOS; MR IMAGES; MULTIPLE OBJECTS; OPTIMAL GRAPHS; OPTIMAL SOLUTIONS; PARAMETER SETTING; PROSTATE BOUNDARY SEGMENTATION; PROSTATE CANCER DETECTION; RUNNING TIME; SEGMENTATION ALGORITHMS; SHAPE CONSTRAINTS; TEST SETS; TISSUE CHARACTERIZATION; TOPOLOGY INFORMATION; TRAINING DATASET;

AUTOMATION; CLASSIFICATION (OF INFORMATION); DISEASES; MEDICAL IMAGING; OPTIMIZATION; THREE DIMENSIONAL; TISSUE; UROLOGY;

IMAGE SEGMENTATION;

EID: 84860710643     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911778     Document Type: Conference Paper

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