Learning of perceptual similarity from expert readers for mammogram retrieval

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn 2006, Issue , 2006, Pages 1356-1359

  Wei, Liyang ^a   Yang, Yongyi ^a   Nishikawa, Robert M ^b   Wernick, Miles N ^a  

^a Illinois Institute of Technology   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL MAMMOGRAMS; EXPERT READERS; MAMMOGRAM IMAGES; MAMMOGRAM RETRIEVAL;

DATABASE SYSTEMS; IMAGE RETRIEVAL; LEARNING SYSTEMS; MAMMOGRAPHY; QUERY LANGUAGES;

SENSORY PERCEPTION;

EID: 33750958883     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. A. W. M. Smeulders, M. Worrings, S. Santini, et al, "Content-based image retrieval at the end of the early years," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 12, pp. 1349-1380, 2000.
2. H. Muller, N. Michoux, D. Bandon and A. Geissbuhler, "A review of content-based image retrieval system in medical applications-clinical benefits and future directions," International Journal of Medical informatics, vol. 73, pp. 1-23, 2004.
3. I El-Naqa, Y. Yang, N. P. Galatsanos, R. M. Nishikawa and M. N. Wernick, "A similarity learning approach to content based image retrieval: application to digital mammography," IEEE Trans. Medical Imaging, vol. 23, no. 10, pp. 1233-1244, 2004.
4. W. Niblack, R. Barber, W. Equitz, et al, "Querying images by content, using color, texture, and shape," Proc. of SPIE, vol. 1908, pp. 173-187, 1993.
5. J. Hafner, H. S. Sawhney, W. Equitz, et al, "Efficient color histogram indexing for quadratic from distance functions, " IEEE Trans. Pattern Anal. Mach. Intell, vol. 17, no. 7, pp. 729-736, 1995.
6. Y. Rubner, C. Tomasi, and L. J. Guibas, "A metric for distributions with applications to image databases," IEEE international conference on computer vision, India, 1998.
7. L. Wei, Y. Yang, R. M. Nishikawa "A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications", IEEE Trans. Medical Imaging, vol. 24, no. 3, pp. 371-380, 2005.
8. R. M. Nishikawa, Y. Yang, etc, "Observers ability to judge the similarity of clustered microcalcifications on mammograms," Proc. of SPIE, vol. 5372, pp. 192-198, 2004.
9. V. Vapnik, Statistical learning theory, New York: Wiley, 1998.
10. Trevor Hastie and Robert Tibshirani, "Discriminant Adaptive Nearest Neighbor Classification," IEEE Trans. Pattern Anal. Mach. Intell, vol. 18, no. 6, pp. 607-616, 1996.
11. J. B. Kruskal, "Multi-dimensional scaling by optimizing goodness-of-fit to a nonmeric hypothesis," Psychometrika, vol. 29, pp. 1-27, 1964.
12. th Ed., 1970.
13. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Academic press, 2003.
14. R. O. Duda and P. E.Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.