Automatic detection of microcalcifications in digital mammography

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3338, Issue , 1998, Pages 1450-1458

  Tao, Eric Y ^a   Ornes, Chester J ^a   Sklansky, Jack ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computer aided diagnosis; Diagnostic classifier; Digital mammogram; Feature selection; Genetic selection; Microcalcification

Indexed keywords

CALCIFICATION (BIOCHEMISTRY); CLASSIFIERS; DIAGNOSTIC RADIOGRAPHY; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGING SYSTEMS; LEARNING SYSTEMS; MAMMOGRAPHY;

DIAGNOSTIC CLASSIFIER; DIGITAL MAMMOGRAM; FEATURE SELECTION; GENETIC SELECTION; MICROCALCIFICATION;

COMPUTER AIDED DIAGNOSIS;

EID: 0343083800     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.310877     Document Type: Conference Paper

References (18)

1. C. C. Boring, T. S. Squires, and T. Tong, "Cancer statistics 1991", CA-A Cancer J. Clinicians 41 (1991) 19-51.
2. Feig SA. "Decreased breast cancer mortality through mammographic screening: results of clinical trials" Radiology 1988; 167: 659-665.
3. S. Goergen, et al., "Characteristics of breast carcinomas missed by screening radiologists," Radiology 1996; Vol. 204, p.131.
4. S. Wagner, "Computer-aided diagnosis on rise in breast imaging," Diagnostic Imaging, Sep. 1995, p.53
5. American College of Radiology, Manual of ACR breast imaging reporting and data system (BIRAS), 1993
6. E. Tao and J. Sklansky, "Analysis of mammograms aided by database of images of calcifications and textures," Proceedings of 1996 SPIE Conference on Medical Imaging Computer-Aided Diagnosis, Mar. 1996
7. Y. Jiang, et al., "Malignant and benign clustered microcalcifications: automated feature analysis and classification," Radiology, March 1996, p.67 1
8. D. Brzakovic, M. Neskovic, "Mammogram screening using multiresolution-based image segmentation," International Journal of Pattern Recognition and Artificial Intelligence Vol. 7 No.6 (1993) p. 1437
9. R. Strickland et al., "Wavelet transforms for detecting microcalcifications in mammograms," IEEE Trans. Medical Imaging, Vol. 15 No.2 April 1996
10. W. Qian, et al., "Computer assisted diagnosis for digital mammography," IEEE Engineering in Medicine and Biology, Sep/Oct 1995, p.561
11. C. Wu, et al., "Image feature analysis for classification of microcalcifications in digital mammography: neural networks and genetic algorithms," Proc. Of SPIE Medical Imaging Conf., Vol. 3034, p. 501
12. R. Strickland, "Wavelet transforms for detecting microcalcifications in mammograms," IEEE Trans. Medical Imaging, Vol. 15, No.2 April 1996, p 218
13. A. Dhawan, et al., "Analysis of mammographic microcalcifications using gray-level image structure features, " IEEE Trans. Medical Imaging, Vol. 15, No. 3, June 1996, p 246
14. Shtern F (moderator). Panel Discussion, Proc SPIE conference on Biomedical Image Processing and Biomedical Visualization 1993: 1905: 534-551.
15. J Suckling, et al., "The mammographic image analysis society digital mammogram database", available from World Wide Wed site: http://skye.icr.ac.uk/miasdb/miasdb.html
16. B.R. Hunt and T.M. cannon, "Nonstationary assumptions for Gaussian models of images." IEEE Trans. Syst. Man, and Cybern., Vol. SMC-6, pp. 876-882, Dec. 1976
17. J. Sklansky and W. Siedlecki, "Large-Scale Feature Selection", Handbook of Pattern Recognition & Computer Vision, edited by C.H. Chen, L.F. Pau, P.S.P Wang, World Scientific, 1993, Chapter 1.3, pp. 61-123.
18. C. Ornes and J. Sklansky, "A visual neural classifier," IEEE Trans. Syst. Man, and Cybern., Aug. 1998