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- "Error processing 11011.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Error processing 14852.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Error processing 18693.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Error processing 22534.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Error processing 24263.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Error processing 3585.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Error processing 7170.dcm: The dataset has no 'Pixel Data', 'Float Pixel Data' or 'Double Float Pixel Data' element, no pixel data to decode\n",
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- "Directory: D:\\TCIA_Split\\train\n",
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- "Total images: 150003\n",
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- "Images deleted: 121811\n",
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- "\n",
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- "Directory: D:\\TCIA_Split\\val\n",
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- "Total images: 7896\n",
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- "Images deleted: 6415\n",
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- "Epoch 1/50: 0%| | 0/28192 [00:00<?, ?batch/s]c:\\Users\\alosh\\anaconda3\\envs\\tf\\lib\\site-packages\\torch\\utils\\checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
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- "c:\\Users\\alosh\\anaconda3\\envs\\tf\\lib\\site-packages\\torch\\utils\\checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
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- "Epoch 1/50: 1%| | 182/28192 [34:21<209:09:49, 26.88s/batch, denoiser_loss=0.209, reconstructor_loss=0.131]"
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  "import torch\n",
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  "import torch.nn as nn\n",
 
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  "execution_count": null,
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  "metadata": {},
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  "source": [
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  "import torch\n",
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  "import torch.nn as nn\n",