arnab39 FewShot_GAN-Unet3D issues

arnab39 / FewShot_GAN-Unet3D

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

MIT License

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issues

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Num_Spatial_Dims argument missing

#24 annecastille opened 1 year ago
0
CUDA error: device-side assert triggered, The loss here is a tensor, and no value is returned.

#23 tian-003 opened 2 years ago
0
ImportError: cannot import name 'extract_patches' from 'sklearn.feature_extraction.image' (/home/nakayama/.local/lib/python3.9/site-packages/sklearn/feature_extraction/image.py)

#22 hayato18032 opened 2 years ago
0
update readme

#21 aakash-garg closed 3 years ago
0
restructure and add pytorch implementation

#20 arnab39 closed 3 years ago
0
def_init_(dump)

#19 manvirvirk opened 4 years ago
0
using my own dataset

#18 manvirvirk opened 4 years ago
0
Why do I get the same loss every validation ?Doesn't the model change?

#17 riodejack135 closed 4 years ago
1
N4BiasField

#16 lxg15066629402 opened 4 years ago
0
ValueError: could not broadcast input array from shape (144,192,256,1) into shape (144,192,256)

#15 songwaimai closed 4 years ago
3
fix #12 issue about cudnn handler on RTX graphics cards

#14 psicobloc closed 2 years ago
0
How did you find class weights?

#13 take5v opened 4 years ago
0
Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR

#12 skyuuka opened 4 years ago
5
Could anyone share dataset? I fail to register and download the dataset. Thanks.

#11 Kristin-ZLCHEN opened 5 years ago
16
Predicted Output Groundtruth Images is 0

#10 chengaox opened 5 years ago
6
运行main_unet.py出错

#9 pangenshuai opened 5 years ago
0
running python main.py --training getting error.

#8 hassaanmahmood opened 5 years ago
4
How to interepret results ?

#7 hassaanmahmood opened 5 years ago
2
.nii is mising from iSEG2017 dataset

#6 hassaanmahmood closed 5 years ago
3
Replacing U-Net with Isensee Model

#5 WrathofBhuvan11 opened 5 years ago
0
when I 'run main.py --testing' have some errors FailedPreconditionError (see above for traceback): Attempting to use uninitialized value D/d_up3_deconv/g [[node D/d_up3_deconv/g/read (defined at ../lib/operations.py:87) = Identity[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](D/d_up3_deconv/g)]] [[{{node ArgMax/_3}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_491_ArgMax", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

#4 tongxuezhou opened 5 years ago
6
Use which command to test the proposed model? I thibk there are some fauts in the text. It should be $ python main.py --testing not $ python main_unet.py --testing, is it right?

#3 tongxuezhou opened 5 years ago
1
I appreciate this is a great work, I'd like to konw what data used to train the model? 1 labeled subject and another one unlabeled subject, is it right? and the unlabeled subject also used to train the GAN?

#2 tongxuezhou opened 5 years ago
1
Incorporate into related toolkits

#1 impredicative opened 5 years ago
3