nwuai / can Goto Github PK
View Code? Open in Web Editor NEWContext-assisted full Attention Network for brain tissue segmentation
Context-assisted full Attention Network for brain tissue segmentation
Hi, thank you for your contributiuon.
Can you share the datasplit of dHCP2017 dataset in origin sample id format? The preprocessed dataset has ordered id. The origin dataset has sample id like CC00069XX12.
Looking forward to your reply.
Hello, for the released code by you, I found the input of the network is different from the input of the testing stage when reproducing your segmentation result, i.e., there are image_3D,skull_3D,img_2D in the training stage, while there are only image_3D in the testing stage. The released code is right?
I am trying to run test.py for dhcp dataset from the pretrained weights. I am getting following error,
Namespace(workers=6, resume='X:\DPC-4\CAN-main\segmentation\save_model\dhcp\checkpoint_pretrain.pth.tar', save_dir='\save_model\dhcp_2', data_dir='..\Datasets\dhcp', data_list='data_list', encode3D=True, se_loss=False, use_weights=False, epochs=100, start_epoch=0, test_batch_size=1, num_slices=5, num_class=10, cuda=True, seed=1, lr=0.01, lr_scheduler='poly', weight_decay=0.0001)
Traceback (most recent call last):
File "X:\DPC-4\CAN-main\segmentation\test.py", line 259, in
main()
File "X:\DPC-4\CAN-main\segmentation\test.py", line 254, in main
solver = Solver(args, args.num_class)
File "X:\DPC-4\CAN-main\segmentation\test.py", line 84, in init
self.optimizer.load_state_dict(checkpoint['optimizer'])
File "C:\anaconda\lib\site-packages\torch\optim\optimizer.py", line 385, in load_state_dict
raise ValueError("loaded state dict has a different number of "
ValueError: loaded state dict has a different number of parameter groups
What parameters I should change in model for dhcp? I have set num-classes = 10
I'm trying to use the pretrained weights. But the pretrained model return zero dice score. I checked the weights and found that it seems to be the first epoch saved model instead of the final model.
Could you please provide the pretrained model you used in your article?
Looking forward to your reply.
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