Prof. Frederik Maes Profile

Prof. Frederik Maes

at KU Leuven

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Proceedings Article | 15 February 2021 Presentation + Paper

Improving T1w MRI-based brain tumor segmentation using cross-modal distillation

Masoomeh Rahimpour, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole

Proceedings Volume 11596, 115960Z (2021) https://doi.org/10.1117/12.2581067

KEYWORDS: Tumors, Brain, Magnetic resonance imaging

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Although multi-modal imaging tends to improve the segmentation and classification performance in the field of medical image processing, lacking certain modalities at test time limits its clinical applicability. In this paper, we explored the ability of cross-modal distillation for increasing the performance of T_1wMRI-based brain tumor segmentation. More specifically, we considered having high resolution T_1w and T_2w MRI sequences available for training while having only a high resolution T_1w MRI sequence available at test time. We investigated the efficacy of the proposed method to improve the whole tumor segmentation using the BRATS 2018 dataset. Both cross-modal knowledge distillation and cross-modal feature distillation approaches were confirmed to enrich the representation of the T_1w MRI sequence by learning from the representation of the more informative T_2w MRI sequence during training, thereby improving the mean Dice scores by 6.14 % and 7.02 %, respectively.

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