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Squeeze-and-Excitation Normalization for Brain Tumor Segmentation

Authors :
Vincent Jaouen
Dimitris Visvikis
Mathieu Hatt
Andrei Iantsen
Source :
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030720865, BrainLes@MICCAI (2)
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

In this paper we described our approach for glioma segmentation in multi-sequence magnetic resonance imaging (MRI) in the context of the MICCAI 2020 Brain Tumor Segmentation Challenge (BraTS). We proposed an architecture based on U-Net with a new computational unit termed “SE Norm” that brought significant improvements in segmentation quality. Our approach obtained competitive results on the validation (Dice scores of 0.780, 0.911, 0.863) and test (Dice scores of 0.805, 0.887, 0.843) sets for the enhanced tumor, whole tumor and tumor core sub-regions. The full implementation and trained models are available at https://github.com/iantsen/brats.

Details

ISBN :
978-3-030-72086-5
ISBNs :
9783030720865
Database :
OpenAIRE
Journal :
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030720865, BrainLes@MICCAI (2)
Accession number :
edsair.doi...........748bf15886e757954d5cda9c54e31825