SAML
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[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset
Thanks for your great work and code release. I have a question about training process. In [this ](https://github.com/liuquande/SAML/blob/263764b9fcdb566864a31eedb347ac4674ca77ea/train.py#L41) why num_meta_train is 2 ? **Totally we have 5 source domains during...
Dear @liuquande , I tried to reproduce the result in your paper. However, there are some question about the metric ASD. Since I can't find any codes in this repository...
Hi, I notice that in train.py the model is selected by the best test dice value on the "unseen" test domain, and most DG methods select the best model on...