Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4224 LNCS, Issue , 2006, Pages 116-124

  Fornells, A ^a   Golobardes, E ^a   Vilasis X ^a   Marti J ^b  

^a UNIVERSITAT RAMON LLULL   (Spain)

^b UNIVERSITY OF GIRONA   (Spain)

Author keywords

Bioinformatics tools; Breast cancer; Case based reasoning; Knowledge discovery retrieval data; Relevance feedback; Self organization map.

Indexed keywords

FEEDBACK; KNOWLEDGE ACQUISITION; SELF ORGANIZING MAPS;

BIOINFORMATICS TOOLS; BREAST CANCER; CASE-BASED REASONING; KNOWLEDGE DISCOVERY; RELEVANCE FEEDBACK;

IMAGE RETRIEVAL;

EID: 33750544475     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11875581_14     Document Type: Conference Paper

References (20)

1. A. Aamodt and E. Plaza. Case-based reasoning: Foundations issues, methodological variations, and system approaches. IA Communications, 7:39-59, 1994.
2. Z. Chen, L. Wenyin, C. Hu, M. Li, and H. Zhang. ifind: a web image search engine. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, page 450. ACM Press, 2001.
3. I.J. Cox, T.P. Minka, and T.V. Papathomas. The bayesian image retrieval system, pichunter: Theory, implementation, and psychophysical experiments. IEEE Transaction on Image Processing - special issue on digital libraries, 9:20-37, 2000.
4. A. Fornells, E. Golobardes, D. Vernet, and G. Corral. Unsupervised case memory organization: Analysing computational time and soft computing capabilities. In 8th European Conference on Case-Based Reasoning, 2006. In press.
5. E. Golobardes, X. Llorà, M. Salamó, and J. Martí. Computer aided diagnosis with case-based reasoning and genetic algorithms. Journal of Knowledge Based Systems, 15:45-52, 2002.
6. K. Han and S. Myaeng. Image organization and retrieval with automatically constructed feature vectors. SIGIR Forum, special issue:157-165, 1996.
7. S. Haykin. Neural Networks: A Comprehensive Foundation, Prentice Hall, 2nd edition, 1999.
8. M. Heath, K. Bowyer, D. Kopans, R. Moore, and P.J. Kegelmeyer. The digital database for screening mammography. Int. Workshop on Dig. Mammography, 2000.
9. S. Kaski, T. Honkela, K. Lagus, and T. Kohonen. Websom: Self-organizing maps of document collections. Neurocomputing, 21(1):101-117, 1998.
10. T. Kohonen. Self-Organization and Associative Memory, volume 8 of Springer Series in Information Sciences. Springer, Berlin, Heidelberg, 1984. 3rd ed. 1989.
11. J. Laaksonen, M. Koskela, and E. Oja. Picsom: Self-organization maps for content-based image retrieval. In Proceedings of Int. Joint Conference on NN, 1999.
12. J. Martí, J. Español, E. Golobardes, J. Freixenet, R. García, and M. Salamó. Classification of microcalcifications in digital mammograms using case-based reasonig. International Workshop on Digital Mammography, 2000.
13. H. Müller, Wolfgang Müller, Stéphane Marchand-Maillet, and Thierry Pun. Strategies for positive and negative relevance feedback in image retrieval. International Conference on Pattern Recognition, 1:1043-1046, 2000.
14. A. Oliver, J. Freixenet, A. Bosch, D. Raba, and R. Zwiggelaar. Automatic classification of breast tissue. In Iberian Conference on Pattern Recognition and Image Analysis, pages 431-438, 2005.
15. A. Oliver, J. Freixenet, and R. Zwiggelaar. Automatic classification of breast density. IEEE International Conference on Image Processing, 2:1258-1261, 2005.
16. T. H. Samuels. Illustrated Breast Imaging Reporting and Data System BIRADS. American College of Radiology Publications, 3rd edition, 1998.
17. Stan Sclaroff, Leonid Taycher, and Marco LaCascia. Imagerover: A content-based image browser for the world wide web. Technical Report 5, 1997.
18. J. Suckling, J. Parker, and D.R. Dance. The mammographic image analysis society digital mammogram database. In A.G. Gale et al., editor, Proceedings of 2nd International Workshop on Digital Mammography, pages 211-221. 1994.
19. D. Winfields, M. Silbiger, and G. Brown. Technology transfer in digital mamography. Report of the Joint National Cancer Institute, Workshop of May 19-20, Invest Radiololgy, pages 507-515, 1994.
20. H. Zhang and D. Zhong. A scheme for visual feature based image indexing. In Storage and Retrieval for Image and Video Databases III, volume 2420, 1995.