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Peer-Reviewed Publication
J Med Imaging (Bellingham)2019;6(4):044001.October 1, 2019Journal Article

Active learning strategy and hybrid training for infarct segmentation on diffusion MRI with a U-shaped network.

Aurélien Olivier1, Olivier Moal1, Bertrand Moal1, Fanny Munsch2, Gosuke Okubo2, Igor Sibon3,4, Vincent Dousset2,5, Thomas Tourdias2,5
1DESKi, Bordeaux, France.
2Université de Bordeaux, Neurocentre Magendie, Inserm U1215, Bordeaux, France.
3Université Bordeaux Segalen, CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France.
4Université de Bordeaux, UMR 5287 CNRS, Bordeaux, France.
5CHU Bordeaux, Neuroimagerie Diagnostique et Thérapeutique, Bordeaux, France.
PubMed PMC DOI PDF

Abstract

Automatic and reliable stroke lesion segmentation from diffusion magnetic resonance imaging (MRI) is critical for patient care. Methods using neural networks have been developed, but the rate of false positives limits their use in clinical practice. A training strategy applied to three-dimensional deconvolutional neural networks for stroke lesion segmentation on diffusion MRI was proposed. Infarct…

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