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Multi Modal Convolutional Neural Networks forBrain Tumor Segmentation

2018-09-17 13:33:21
Mehmet Aygün, Yusuf Hüseyin Şahin, Gözde Ünal

Abstract

In this work, we propose a multi-modal Convolutional Neural Network (CNN) approach for brain tumor segmentation. We investigate how to combine different modalities efficiently in the CNN framework.We adapt various fusion methods, which are previously employed on video recognition problem, to the brain tumor segmentation problem,and we investigate their efficiency in terms of memory and performance.Our experiments, which are performed on BRATS dataset, lead us to the conclusion that learning separate representations for each modality and combining them for brain tumor segmentation could increase the performance of CNN systems.

Abstract (translated)

URL

https://arxiv.org/abs/1809.06191

PDF

https://arxiv.org/pdf/1809.06191


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