Blob segmentation using joint space-intensity likelihood ratio test: Application to 3D tumor segmentation

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn II, Issue , 2005, Pages 437-444

  Okada, Kazunori ^a   Akdemir, Umut ^a   Krishnan, Arun ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER AIDED DIAGNOSIS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBLEM SOLVING; THREE DIMENSIONAL COMPUTER GRAPHICS; TUMORS;

BLOB SEGMENTATION; LIKELIHOOD RATIO TEST (LRT)]; MEDICAL DATA; THE LUNG NODULE SEGMENTATION;

MEDICAL COMPUTING;

EID: 24644442879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.92     Document Type: Conference Paper

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