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Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (BrainLes 2017)

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Abstract

In this work we approach the brain tumor segmentation problem with a cascade of two CNNs inspired in the V-Net architecture [13], reformulating residual connections and making use of ROI masks to constrain the networks to train only on relevant voxels. This architecture allows dense training on problems with highly skewed class distributions, such as brain tumor segmentation, by focusing training only on the vecinity of the tumor area. We report results on BraTS2017 Training and Validation sets.

This work has been partially supported by the projects BIGGRAPH-TEC2013-43935-R and MALEGRA TEC2016-75976-R financed by the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund (ERDF). Adrià Casamitjana is supported by the Spanish “Ministerio de Educacin, Cultura y Deporte” FPU Research Fellowship.

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Notes

  1. 1.

    https://www.cbica.upenn.edu/BraTS17/lboardValidation.html.

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Authors and Affiliations

  1. Signal Theory and Communications Department, Universitat Politècnica de Catalunya. BarcelonaTech, Barcelona, Spain

    Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia & Verónica Vilaplana

Authors
  1. Adrià Casamitjana
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  2. Marcel Catà
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  3. Irina Sánchez
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  4. Marc Combalia
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  5. Verónica Vilaplana
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Corresponding author

Correspondence to Verónica Vilaplana .

Editor information

Editors and Affiliations

  1. African Institute of Mathematical Sciences, Cape Town, Ghana

    Alessandro Crimi

  2. University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Spyridon Bakas

  3. University Medical Center Utrecht, Utrecht, The Netherlands

    Hugo Kuijf

  4. Technical University Munich, Munich, Germany

    Bjoern Menze

  5. Universität Bern, Bern, Switzerland

    Mauricio Reyes

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Casamitjana, A., Catà, M., Sánchez, I., Combalia, M., Vilaplana, V. (2018). Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. In: Crimi, A., Bakas, S., Kuijf, H., Menze, B., Reyes, M. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science(), vol 10670. Springer, Cham. https://doi.org/10.1007/978-3-319-75238-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-75238-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75237-2

  • Online ISBN: 978-3-319-75238-9

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