Learning distance metrics for interactive search-assisted diagnosis of mammograms

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6514, Issue PART 1, 2007, Pages

  Yang, Liu ^a   Jin, Rong ^a   Sukthankar, Rahul ^b,c   Zheng, Bin ^d,e   Mummert, Lily ^b   Satyanarayanan, M ^c   Chen, Mei ^b,c   Jukic, Drazen ^d,e  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b INTEL RESEARCH   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

^d UNIVERSITY OF PITTSBURGH   (United States)

^e UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

Author keywords

CAD ISAD; Diagnosis (mass classification); Diagnostic task; Diamond; Machine learning: (distance metrics, boosting); Methods: classification and classifier design; Modalities: Mammography

Indexed keywords

DIAMOND FRAMEWORK; DOMAIN-SPECIFIC DISTANCE METRICS; INTERACTIVE SEARCH-ASSISTED DIAGNOSIS (ISAD); LEARNED DISTANCE METRICS; MALIGNANT MASSES; REGIONS OF INTEREST (ROI);

BIOPSY; COMPUTER AIDED DIAGNOSIS; DIAMONDS; LEARNING SYSTEMS; MEDICAL IMAGING; RADIOLOGY;

MAMMOGRAPHY;

EID: 34447321075     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.710076     Document Type: Conference Paper

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