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Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information

  • Raúl Cruz-Barbosa
  • Alfredo Vellido
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5788)

Abstract

The diagnosis and prognosis of human brain tumours, especially when they are aggresive, are sensitive clinical tasks that usually require non-invasive measurement techniques. Outcome information for aggressive tumours, in particular, is usually scarce. In this paper, we aim to gauge the capability of a novel semi-supervised model, SS-Geo-GTM, to infer outcome stages from a very limited amount of available stage labels and Magnetic Resonance Spectroscopy (MRS) data corresponding to Glioblastoma, which is an aggressive tumor type. This model stems from a geodesic distance-based extension of Generative Topographic Mapping (Geo-GTM) that prioritizes neighbourhood relationships along a generated manifold embedded in the observed data space.

Keywords

Magnetic Resonance Spectroscopy Class Label Unlabeled Data Graph Distance Label Propagation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Zhu, X., Ghahramani, Z.: Learning from labeled and unlabeled data with label propagation. Technical report, CMU-CALD-02-107, Carnegie Mellon University (2002)Google Scholar
  2. 2.
    Belkin, M., Niyogi, P.: Using manifold structure for partially labelled classification. In: Procs. of NIPS, vol. 15. MIT Press, Cambridge (2003)Google Scholar
  3. 3.
    Herrmann, L., Ultsch, A.: Label propagation for semi-supervised learning in self-organizing maps. In: Proceedings of the 6th WSOM 2007 (2007)Google Scholar
  4. 4.
    Ultsch, A.: Maps for the visualization of high-dimensional data spaces. In: Proceedings of WSOM 2003, pp. 225–230 (2003)Google Scholar
  5. 5.
    Cruz-Barbosa, R., Vellido, A.: Geodesic Generative Topographic Mapping. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds.) IBERAMIA 2008. LNCS (LNAI), vol. 5290, pp. 113–122. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Bishop, C.M., Svensén, M., Williams, C.K.I.: The Generative Topographic Mapping. Neural Computation 10(1), 215–234 (1998)CrossRefzbMATHGoogle Scholar
  7. 7.
    Bernstein, M., de Silva, V., Langford, J., Tenenbaum, J.: Graph approximations to geodesics on embedded manifolds. Technical report, Stanford U., CA (2000)Google Scholar
  8. 8.
    Cruz-Barbosa, R., Vellido, A.: On the improvement of the mapping trustworthiness and continuity of a manifold learning model. In: Fyfe, C., Kim, D., Lee, S.-Y., Yin, H. (eds.) IDEAL 2008. LNCS, vol. 5326, pp. 266–273. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  9. 9.
    Dijkstra, E.W.: A note on two problems in connection with graphs. Numerische Mathematik 1, 269–271 (1959)MathSciNetCrossRefzbMATHGoogle Scholar
  10. 10.
    Archambeau, C., Verleysen, M.: Manifold constrained finite gaussian mixtures. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, vol. 3512, pp. 820–828. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Romero, E., Vellido, A., Julià-Sapé, M., Arús, C.: Discriminating glioblastomas from metastases in a SV 1H-MRS brain tumour database. In: European Soc. for MR in Biology and Medicine (ESMRMB) Congress 2009 (submitted, 2009)Google Scholar
  12. 12.
    Tate, A.R., Majós, C., Moreno, A., Howe, F.A., Griffiths, J.R., Arús, C.: Automated classification of short echo time in In Vivo 1 H brain tumor spectra: a multicenter study. Magnetic Resonance in Medicine 49, 29–36 (2003)CrossRefGoogle Scholar
  13. 13.
    Cruz-Barbosa, R., Vellido, A.: Comparative evaluation of semi-supervised geodesic GTM. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Barugue, B. (eds.) HAIS 2009. LNCS (LNAI), vol. 5572, pp. 344–351. Springer, Heidelberg (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Raúl Cruz-Barbosa
    • 1
    • 2
  • Alfredo Vellido
    • 1
  1. 1.Universitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Universidad Tecnológica de la MixtecaHuajuapanMéxico

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