Scalable mammogram retrieval using anchor graph hashing

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Volumn , Issue , 2014, Pages 898-901

  Liu, Jingjing ^a   Zhang, Shaoting ^b   Liu, Wei ^c   Zhang, Xiaofan ^b   Metaxas, Dimitris N ^a  

^a RUTGERS UNIVERSITY   (United States)

^b University of North Carolina at Charlotte   (United States)

^c IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Digital mammogram; Hamming space; Hashing; Scalable image retrieval

Indexed keywords

CONTENT BASED RETRIEVAL; DISEASES; MAMMOGRAPHY; X RAY SCREENS;

BREAST CANCER DIAGNOSIS; CONTENT-BASED IMAGE RETRIEVAL; DIGITAL DATABASE FOR SCREENING MAMMOGRAPHIES; DIGITAL MAMMOGRAMS; EARLY-STAGE DIAGNOSIS; HAMMING SPACE; HASHING; UNSUPERVISED ALGORITHMS;

MEDICAL IMAGING;

EID: 84921470626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isbi.2014.6868016     Document Type: Conference Paper

References (24)

1. J. Tang, R.M. Rangayyan, J. Xu, I. El-Naqa, and Y. Yang, "Computer-aided detection and diagnosis of breast cancer with mammography: recent advances," IEEE Trans on Information Technology in Biomedicine, Vol. 13, no. 2, pp. 236-251, 2009.
2. R. Strickland and H. Hahn, "Wavelet transforms for detecting microcalcifications in mammograms," TMI, Vol. 15, no. 2, pp. 218-229, 1996.
3. T.W. Freer and M.J. Ulissey, "Screening mammography with computer-aided detection: prospective study of 12860 patients in a community breast center," Radiology, Vol. 220, no. 3, pp. 781-786, 2001.
4. H. D. Cheng, X. J. Shi, R. Min, L. M. Hu, X. P. Cai, and H. N. Du, "Approaches for automated detection and classification of masses in mammograms," PR, Vol. 39, no. 4, pp. 646-668, 2006.
5. A. Oliver, J. Freixenet, J. Martí, E. Pérez, J. Pont, E. R.E. Denton, and R. Zwiggelaar, "A review of automatic mass detection and segmentation in mammographic images," Medical Image Analysis, Vol. 14, no. 2, pp. 87-110, 2010.
6. S. Yu and L. Guan, "A CAD system for the automatic detection of clustered microcalcification in digitized mammogram films.," TMI, Vol. 19, no. 2, pp. 115-126, 2000.
7. H.D. Cheng, X. Cai, X. Chen, L. Hu, and X. Lou, "Computer-aided detection and classification of microcalcifications in mammograms: a survey," PR, Vol. 36, no. 12, pp. 2967-2991, 2003.
8. N. Houssami, R. Given-Wilson, and S. Ciatto, "Early detection of breast cancer: Overview of the evidence on computer-aided detection in mammography screening," Journal of Medical Imaging and Radiation Oncology, Vol. 53, no. 2, pp. 171-176, 2009.
9. H. Müller, N. Michoux, D. Bandon, and A. Geissbuhler, "A review of content-based image retrieval systems in medical applications-clinical benefits and future directions," International Journal of Medical Informatics, Vol. 73, no. 1, pp. 1-23, 2003.
10. F. Valente, C. Costa, and A. Silva, "Dicoogle, a pacs featuring profiled content based image retrieval," PLoS ONE, Vol. 8, no. 5, 2013.
11. X. Yu, S. Zhang, B. Liu, L. Zhong, and D. Metaxas, "Large scale medical image search via unsupervised pca hashing," in CVPRW, 2013, pp. 393-398.
12. G. D. Tourassi, R. Vargas-Voracek, D. M. Catarious, and C. E. Floyd, "Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information," Medical Physics, Vol. 30, no. 8, pp. 2123-2130, 2003.
13. 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," TMI, Vol. 23, no. 10, pp. 1233-1244, 2004.
14. G. D. Tourassi, R. Ike, S. Singh, and B. Harrawood, "Evaluating the effect of image preprocessing on an information-theoretic CAD system in mammography," Academic Radiology, Vol. 15, no. 5, pp. 626-634, 2008.
15. A. Gionis, P. Indyk, and R. Motwani, "Similarity search in high dimensions via hashing," in VLDB, 1999, pp. 518-529.
16. Y. Weiss, A. Torralba, and R. Fergus, "Spectral hashing," in NIPS, 2008.
17. W. Liu, J. Wang, and S.F. Chang, "Hashing with graphs," in ICML, 2011.
18. S. Zhang, M. Yang, T. Cour, K. Yu, and D. Metaxas, "Query specific fusion for image retrieval," in ECCV, pp. 660-673. 2012.
19. S. Zhang, J. Huang, H. Li, and D. Metaxas, "Automatic image annotation and retrieval using group sparsity," TSMC, Part B, Vol. 42, no. 3, pp. 838-849, 2012.
20. D.G. Lowe, "Object recognition from local scale-invariant features," in ICCV, 1999, Vol. 2, pp. 1150-1157.
21. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," IJCV, Vol. 42, no. 3, pp. 145-175, 2001.
22. A. Makadia, V. Pavlovic, and S. Kumar, "A new baseline for image annotation," in ECCV, 2008, pp. 316-329.
23. M. Heath, K. Bowyer, D. Kopans, R. Moore, and W.P. Kegelmeyer, "The digital database for screening mammogra-phy," in Proceedings of the International Workshop on Digital Mammography, 2001, pp. 212-218.
24. B. Zheng, A. Lu, A. Hardesty, J.H. Sumkin, C.M. Hakim, M.A. Ganott, and D. Gur, "A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment," Medical Physics, Vol. 33, no. 1, pp. 111-117, 2006.