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International MICCAI Brainlesion Workshop

BrainLes 2017: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries pp 159–168Cite as

Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10670))

Abstract

In this paper, we have proposed a cascaded ensemble method based on Random Forest, named as Ensemble-of-Forest, (EoF). Instead of classifying huge amount of data with a single forest, we proposed two stage ensemble method for Multimodal Brain Tumor Segmentation problem. Identification of Tumor region and its sub-regions poses challenge in terms of variations in intensity, location etc. from patient to patient. We identify the initial region of interest (ROI) by linear combination of FLAIR and T2 modality. For each training scan/ROI, we define a Random Forest as first stage of ensemble method. For a test ROI, collect a set of similarly seen ROI and hence forest based on mutual information criteria and collect majority voting to classify voxels in it. We have reported results on BRATS 2017 dataset in this paper.

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Acknowledgement

This work was supported in part by the Dept. of Electronics and Information Technology, Govt. of India (PhD-MLA/4(90)/2015-16).

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Authors and Affiliations

  1. Indian Institute of Information Technology, Vadodara, Gandhinagar Campus, Vadodara, 382028, Gujarat, India

    Ashish Phophalia

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, 700108, India

    Pradipta Maji

Authors
  1. Ashish Phophalia
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  2. Pradipta Maji
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Corresponding author

Correspondence to Ashish Phophalia .

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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Phophalia, A., Maji, P. (2018). Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method. 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_14

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  • DOI: https://doi.org/10.1007/978-3-319-75238-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75237-2

  • Online ISBN: 978-3-319-75238-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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