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Thanks for using our code.
U-Net is recommend. It is a pyramid encoder-decoder structure with skip-connections and is very suitable for medical image segmentation tasks with scarce data.
We did not use pre-trained weights and we trained from scratch.
Hi
Thanks for your work on this repo!
What would you recommend to use as the pre-trained model?
Have you used and seen an improvement if finetuning a pre-trained model?
Thanks in advance
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