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51 Open 29 Closed
51 Open 29 Closed
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Issues list

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#95 opened Mar 11, 2024 by Summit3Zz
How do I train U-Net++ on my custom 3D data?
#94 opened Feb 5, 2024 by Vishu9519
AttributeError: 'Generic_UNetPlusPlus' object has no attribute 'upsample_mode'
#89 opened Nov 22, 2022 by SalamanderXing
PermissionError: [Errno 13] Permission denied: '/media/yang/nnUNet_raw_data_base'
#87 opened Sep 11, 2022 by kangyiyang
How to Train on nnunet 2d mode?
#86 opened Jul 24, 2022 by web-girlfriend
legacy_upsampling2d_support
#85 opened Jun 13, 2022 by jovahe
Generic_UNetPlusPlus测试报错
#82 opened May 19, 2022 by axjing
'unet_final_features' referenced before assignment
#80 opened May 5, 2022 by mukul-B
2
issue in resize_segmentation
#79 opened Apr 7, 2022 by mukul-B
3
Anyone here who have update this code for tensorflow version 2.x
#77 opened Nov 16, 2021 by imran7778
1
Question : why use " l = weights[0] * self.loss(x[-1], y[0])" in loss_functions/deep_supervision.py ?
#75 opened Nov 5, 2021 by cuihu1998
您好！请问pytorch官方实现版提供的LITS预训练模型，是关闭deep_supervision跑的么
#74 opened Nov 4, 2021 by cuihu1998
7
RuntimeError: Given transposed=1, weight of size [256, 128, 2, 2], expected input[12, 64, 256, 256] to have 256 channels, but got 64 channels instead
#73 opened Oct 31, 2021 by zhouwang0924
2
周学长您好，我在配置环境中发现个小坑想提醒大家
#72 opened Oct 12, 2021 by zhangxinkang
Getting very bad validation metrics
#67 opened Aug 19, 2021 by kirillmeisser
2
Task058 have RuntimeError: Given transposed=1, weight of size [128, 64, 1, 2, 2], expected input[2, 64, 16, 160, 160] to have 128 channels, but got 64 channels instead
#65 opened May 27, 2021 by WangHuikong
8
3x3 sigmoid/softmax output.
#63 opened Jan 23, 2021 by JakobKHAndersen
2
Steps to train and test
#62 opened Jan 8, 2021 by Manojkumarmuru
1
Model shape error
#61 opened Dec 29, 2020 by Furqanf9T
1
From BRATS 2013 dataset to BRATS2013_Syn_Flair_Train_X.npy and “BRATS2013_Syn_Flair_Train_S.npy
#56 opened Oct 28, 2020 by chenwang1701
No such file or directory: 'Data/BRATS/BRATS2013_Syn_Flair_Train_X.npy'
#55 opened Oct 21, 2020 by chen-chunling
Overlap Strategy vs Padded Convolution
#53 opened Sep 25, 2020 by gchhablani
Implementing in colab
#52 opened Aug 24, 2020 by Swathi-Guptha
3
data preparation for training
#50 opened Jul 23, 2020 by fselka
bce_dice_loss negative loss
#49 opened Jul 21, 2020 by jcarta
3
ProTip! no:milestone will show everything without a milestone.