Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization

Author:

Bauer Stefan,Nolte Lutz-P.,Reyes Mauricio

Publisher

Springer Berlin Heidelberg

Reference12 articles.

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3. Corso, J.J., Sharon, E., Dube, S., El-Saden, S., Sinha, U., Yuille, A.: Efficient multilevel brain tumor segmentation with integrated bayesian model classification. IEEE T. Med. Imaging 27(5), 629–640 (2008)

4. Ibanez, L., Schroeder, W., Ng, L., Cates, J.: The ITK Software Guide. Kitware, 2nd edn. (2005), http://www.itk.org/ItkSoftwareGuide.pdf

5. Komodakis, N., Tziritas, G., Paragios, N.: gle and dynamic MRFs: Setting the state of the art with primal-dual strategies. Comput. Vis. Image Und. 112(1), 14–29 (2008)

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