Applying modular classifiers to mammographic mass classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 III, Issue , 2004, Pages 1585-1588

  Shah, V P ^a   Bruce, L M ^a   Younan, N H ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

AdaBoost; Bagging; Mammography; Medical diagnostics; Modular classifier; Shape analysis

Indexed keywords

ADABOOST; BAGGING; MEDICAL DIAGNOSTICS; MODULAR CLASSIFIERS; SHAPE ANALYSIS;

COMPUTER AIDED DIAGNOSIS; ENTROPY; FEATURE EXTRACTION; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PATIENT TREATMENT; PROBABILITY; RADIOLOGY; RANDOM PROCESSES; TUMORS;

MAMMOGRAPHY;

EID: 11144324502     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. National Breast Cancer Foundation, http://www.nationalbreastcancer.org (April 21,2004)
2. R.L. Egan, Breast Imaging: Diagnosis and Morphology of Breast Diseases. Philadelphia, PA: Saunders, 1988.
3. L.M. Bruce and R. R. Adhami, "Classifying Mammographic mass shapes using the wavelet transform modulus-maxima method," IEEE Trans. Med. Imag., vol. 18, no. 12, pp. 1170-1177, Dec. 1999.
4. B. Shaniner, N. Petrick, H. Chan, L. Hadjiiski, C. Paramagul, M. Helvie, and M. Gurcan, "Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effects on Characterization," IEEE Trans. Med. Imag., vol. 20, no. 12, pp 1275-1284, 2001.
5. J. Kilday, F. Palmieri and M.D. Fox, "Classifying mammographic lesions using computerized image analysis," IEEE Trans. Med. Imag., vol. 12, pp. 664-669, Dec 1993.
6. H.S. Gallager and J. E. Martin, "The study of breast carcinoma by correlated mammography and subserial whole organ sectioning: Early Observation," Cancer, vol. 23, pp. 855-873, 1969.
7. J.E. martin and H.S. Gallager, "Mammographic diagnosis of minimal breast cancer," Cancer, vol. 28, pp. 855-873, 1969.
8. G. Ertas, H.O. Gulcur, E. Aribal, and A. Semize, "Feature Extraction from Mammographic mass Shapes and Development of a Mammogram Database," Proc. 23rd Annual EMBS Int. Conf., Istanbul, Turkey, pp. 2752-2755, Oct 2001.
9. G. J. Briem, et al., "Multiple Classifiers Applied to Multisource Remote Sensing Data," IEEE Trans. Geoscience and Remote Sensing, vol. 40, no. 10, pp 2291-2299, 2002.
10. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York: Wiley Interscience, 2001.
11. University of South Florida, Digital Mammography, http://marathon.csee.usf.edu/Mammography/Database.html (April 21, 2004).
12. J.T. Tou and R.C. Gonzalez, Pattern Recognition Principles. Reading, MA: Addision-Wesley, 1974.
13. R. Schalkoff, Pattern Recognition: Statistical, Structural, and Neural Approaches. New York: Wiley, 1992.
14. M. James, Classification Algorithms. New York: Wiley, 1985.