Effective 3D object detection and regression using probabilistic segmentation features in CT images

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 1049-1056

  Lu, Le ^a   Bi, Jinbo ^a   Wolf, Matthias ^a   Salganicoff, Marcos ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; IMAGE SEGMENTATION; MEDICAL IMAGING; OBJECT DETECTION; OBJECT RECOGNITION; REGRESSION ANALYSIS;

3-D OBJECT DETECTIONS; CLINICAL REPORTING; COMPUTER AIDED DIAGNOSIS(CAD); LEARNING-BASED SEGMENTATION; MULTIPLE INSTANCES; REGRESSION METHOD; STATISTICAL PROPERTIES; VOLUMES OF INTERESTS;

COMPUTERIZED TOMOGRAPHY;

EID: 80052892770     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995359     Document Type: Conference Paper

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