Content-based retrieval in endomicroscopy: Toward an efficient Smart Atlas for clinical diagnosis

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

Volumn 7075 LNCS, Issue , 2012, Pages 12-23

  André, Barbara ^a,b   Vercauteren, Tom ^a   Ayache, Nicholas ^b  

^a Mauna Kea Technologies (MKT)   (France)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BAG-OF-VISUAL-WORDS; CLINICAL DIAGNOSIS; CLINICAL KNOWLEDGE; CONTENT-BASED IMAGE RETRIEVAL; DIAGNOSIS SUPPORT; GROUND TRUTH; IN-VIVO; RETRIEVAL PERFORMANCE; SELF-TRAINING; STATE-OF-THE-ART METHODS; VISUAL FEATURE; VISUAL SIMILARITY;

CONTENT BASED RETRIEVAL; DECISION SUPPORT SYSTEMS; DIAGNOSIS; INFORMATION RETRIEVAL; SEMANTICS;

VISUAL LANGUAGES;

EID: 84857620909     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28460-1_2     Document Type: Conference Paper

References (17)

1. Sivic, J., Zisserman, A.: Efficient visual search of videos cast as text retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(4), 591-606 (2009)
2. Zhang, J., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision 73, 213-238 (2007)
3. Syeda-Mahmood, T.F., Wang, F., Beymer, D.: Recognition of object categories using affine kernels. In: Multimedia Information Retrieval, pp. 15-24 (2010)
4. André, B., Vercauteren, T., Buchner, A.M., Wallace, M.B., Ayache, N.: A smart atlas for endomicroscopy using automated video retrieval. Medical Image Analysis 15(4), 460-476 (2011)
5. Vercauteren, T., Perchant, A., Malandain, G., Pennec, X., Ayache, N.: Robust mosaicing with correction of motion distortions and tissue deformation for in vivo fibered microscopy. Medical Image Analysis 10(5), 673-692 (2006)
6. Müller, H., Kalpathy-Cramer, J., Eggel, I., Bedrick, S., Reisetter, J., Kahn, C.E., Hersh, W.R.: Overview of the clef 2010 medical image retrieval track. In: CLEF (Notebook Papers/LABs/Workshops) (2010)
7. Akgül, C.B., Rubin, D.L., Napel, S., Beaulieu, C.F., Greenspan, H., Acar, B.: Content-based image retrieval in radiology: Current status and future directions. Journal of Digital Imaging 24(2), 208-222 (2011)
8. Haralick, R.M.: Statistical and structural approaches to texture. Proceedings of the IEEE 67, 786-804 (1979)
9. Leung, T., Malik, J.: Representing and recognizing the visual appearance of materials using three-dimensional textons. International Journal of Computer Vision 43, 29-44 (2001)
10. Boiman, O., Shechtman, E., Irani, M.: In defense of nearest-neighbor based image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1-8 (2008)
11. André, B., Vercauteren, T., Buchner, A.M., Wallace, M.B., Ayache, N.: Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 297-304. Springer, Heidelberg (2011)
12. André, B., Vercauteren, T., Buchner, A.M., Shahid, M.W., Wallace, M.B., Ayache, N.: An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6362, pp. 480-487. Springer, Heidelberg (2010)
13. Kiesslich, R., Burg, J., Vieth, M., Gnaendiger, J., Enders, M., Delaney, P., Polglase, A., McLaren, W., Janell, D., Thomas, S., Nafe, B., Galle, P.R., Neurath, M.F.: Confocal laser endoscopy for diagnosing intraepithelial neoplasias and colorectal cancer in vivo. Gastroenterology 127(3), 706-713 (2004)
14. Rasiwasia, N., Moreno, P.J., Vasconcelos, N.: Bridging the gap: Query by semantic example. IEEE Transactions on Multimedia 9(5), 923-938 (2007)
15. Kwitt, R., Rasiwasia, N., Vasconcelos, N., Uhl, A., Häfner, M., Wrba, F.: Learning Pit Pattern Concepts for Gastroenterological Training. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 280-287. Springer, Heidelberg (2011)
16. André, B., Vercauteren, T., Buchner, A.M., Wallace, M.B., Ayache, N.: Learning semantic and visual similarity for endomicroscopy video retrieval. INRIA Technical Report RR-7722, INRIA (August 2011)
17. Philbin, J., Isard, M., Sivic, J., Zisserman, A.: Descriptor learning for efficient retrieval. In: Daniilidis, K. (ed.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 677-691. Springer, Heidelberg (2010)