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himashi92 / VT-UNet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
MIT License
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About Results on BraTS #26

Closed auroua closed 2 years ago

auroua commented 2 years ago

The paper <A Volumetric Transformer for Accurate 3D Tumor Segmentation> evaluates the VT-UNet's performance on BraTS 2021 dataset, but the MICCAI paper <A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation> evaluates the VT-UNet on MSD BraTS task. Why not evaluate and report the performance of VT-UNet on BraTS 2021 any more in the MICCAI paper?

himashi92 commented 2 years ago

For a fair comparison with other methods, we used results on MSD BraTS dataset in our MICCAI paper instead of BraTS 2021 dataset. In the future, we'll be considering extending our experiments on other datasets as well (possibly in a journal extension of the MICCAI work).

auroua commented 2 years ago

@himashi92 Thanks for your reply!