A new approach to the classification of mammographic masses and normal breast tissue

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2006, Pages 707-710

  Oliver, Arnau ^a   Martí, Joan ^a   Martí, Robert ^a   Bosch, Anna ^a   Freixenet, Jordi ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

MASS DETECTION; NORMAL BREAST TISSUE; SUSPICIOUS REGIONS;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; EIGENVALUES AND EIGENFUNCTIONS; PROBLEM SOLVING; TUMORS;

MAMMOGRAPHY;

EID: 34147175968     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.113     Document Type: Conference Paper

References (8)

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3. M. Heath, K. Bowyer, et al. The Digital Database for Screening Mammography. In Int. Work, on Dig. Mammography, pages 212-218, 2000.
4. D. Kopans. Breast Imaging. Lippincott-Raven, Philadelphia, 1998.
5. C. Metz. Evaluation of digital mammography by ROC analysis. In Int. Work, on Dig. Mammography, pages 61-68, 1996.
6. J. Suckling, J. Parker, et al. The Mammographic Image Analysis Society digital mammogram database. In Int. Work, on Dig. Mammography, pages 211-221, 1994.
7. G. Tourassi, R. Vargas-Vorecek, D. Catarious, and C. Floyd. Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information. Med. Phys, 30(8):2123-2130, 2003.
8. M. Turk and A. Pentland. Eigenfaces for recognition. J. Cogn. Neuroscience, 3(1), 1991.