most citedBrain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

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eess.IV2021

Weakly supervised pan-cancer segmentation tool

Marvin Lerousseau, Marion Classe, Enzo Battistella +8

The vast majority of semantic segmentation approaches rely on pixel-level annotations that are tedious and time consuming to obtain and suffer from significant inter and intra-expe…

eess.IV2020★ 1 cited

Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

Theophraste Henry, Alexandre Carre, Marvin Lerousseau +4

Brain tumor segmentation is a critical task for patient's disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks, mainly…