Cannot fing the medical_resnet50 model when using perceptual loss

[vasl12]

In monai/losses/perceptual.py

I would like to report that the model names do not correspond to the models in torch hub for the medical datasets and as a result the perceptual loss class is cumbersome to deal with.

E.g. medical_resnet50_23datasets should become medicalnet_resnet50_23datasets in order to find the model in torch hub.

class PercetualNetworkType(StrEnum): alex = "alex" vgg = "vgg" squeeze = "squeeze" radimagenet_resnet50 = "radimagenet_resnet50" medicalnet_resnet10_23datasets = "medicalnet_resnet10_23datasets" medical_resnet50_23datasets = "medical_resnet50_23datasets" resnet50 = "resnet50"

[Lucas-rbnt]

Hi, it seems that this problem has already been solved in this recent PR #7548