Analysis of Whole Slide Images of Equine Tendinopathy | SpringerLink
Skip to main content

Analysis of Whole Slide Images of Equine Tendinopathy

  • Conference paper
Image Analysis and Recognition (ICIAR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7325))

Included in the following conference series:

  • 2113 Accesses

Abstract

We present a method for the automatic analysis of whole slide histological images of equine tendinopathy. This computer-aided analysis is a pre-screening tool that helps veterinarians doctors to evaluate the efficacy of new treatments. A set of textural, arrangement, and alignment features are extracted to reproduce visual histological criteria, each of them representing different feature views of the initial data. To efficiently combine these different views of the data for clustering, tensor-based multi-view spectral clustering is considered and provides an unsupervised classification of the tissue zones.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. McIlwraith, C.: Diseases of joints, tendons, ligaments and related structures. In: Stashak, T. (ed.) Adams’ Lameness in Horses, 4th edn., pp. 339–485. Lippincott Williams and Wilkins (2002)

    Google Scholar 

  2. Bloom, W., Fawcett, D.: A textbook of histology, 10th edn. W.B. Saunders (1975)

    Google Scholar 

  3. Denoix, J., Audigié, F., Hinchcliff, K., Kaneps, A., Geor, R.: Imaging of the musculoskeletal system in horses. Equine sports medicine and surgery: basic and clinical sciences of the equine athlete, 161–187 (2004)

    Google Scholar 

  4. Crovace, A., Lacitignola, L., Rossi, G., Francioso, E.: Histological and immunohistochemical evaluation of autologous cultured bone marrow mesenchymal stem cells and bone marrow mononucleated cells in collagenase-induced tendinitis of equine superficial digital flexor tendon. Vet. Med. Int. (2010)

    Google Scholar 

  5. Roullier, V., Lézoray, O., Ta, V., Elmoataz, A.: Multi-resolution graph-based analysis of histopathological whole slide images: application to mitotic cell extraction and visualization. Computerized Medical Imaging and Graphics 35, 603–615 (2011)

    Article  Google Scholar 

  6. Ruifrok, A., Johnston, D.: Quantification of histochemical staining by color deconvolution. Analytical and Quantitative Cytology and Histology 23, 291–299 (2001)

    Google Scholar 

  7. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971–987 (2002)

    Article  Google Scholar 

  8. Doyle, S., Agner, S., Madabhushi, A., Feldman, M., Tomaszewski, J.: Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features. In: 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 496–499 (2008)

    Google Scholar 

  9. Vanegas, M.C., Bloch, I., Inglada, J.: Searching Aligned Groups of Objects with Fuzzy Criteria. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. LNCS, vol. 6178, pp. 605–613. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Rüping, S., Scheffer, T. (eds.): ICML Workshop on Learning with Multiple Views (2005)

    Google Scholar 

  11. DeLathauwer, L., DeMoor, B., Vandewalle, J.: A multilinear singular value decomposition. SIAM J. Matrix Anal. Appl. 21, 1253–1278 (2000)

    Article  MathSciNet  Google Scholar 

  12. Liu, X.: Learning from multi-view data: clustering algorithm and text mining application. PhD thesis, Katholieke Universiteit Leuven (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Toutain, M. et al. (2012). Analysis of Whole Slide Images of Equine Tendinopathy. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31298-4_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31297-7

  • Online ISBN: 978-3-642-31298-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics