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Omid-Nejati / BEFUnet

A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
MIT License
38 stars 5 forks source link

Regarding Results #4

Open Freaus opened 3 months ago

Freaus commented 3 months ago

Hello authors,

You have done a fabulous job in implementing this approach.

I tried to use Synapse data to train BEFUnet with a V100， but the results are not around the results you mentioned in the paper. I got mean dice of 0.680632 & mean hd95 of 30.464120.

It is really diffirent with the paper, how should I do? Thank you!

mewbugger commented 2 months ago

I'm having a similar issue，I tried to use Synapse data to train BEFUnet with a 4090，and I got mean dice of 0.6986259426615354 & mean hd95 of 29.504446421499615.