NoduleNet
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uci-cbcl
[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
self.mask_probs = data_parallel(self.mask_head, (torch.from_numpy(self.crop_boxes).cuda(), features)) File "D:\anaconda\envs\Stest\lib\site-packages\torch\nn\parallel\data_parallel.py", line 231, in data_parallel return module(*inputs[0], **module_kwargs[0]) File "D:\anaconda\envs\Stest\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl return forward_call(*input, **kwargs) File "D:\HGQ_DL\NoduleNet\net\nodule_net.py", line 238, in forward up1...
I trained directly with "python train.py", and reduced the batch size to 8. My final result is only 71.9 with this setting, did you modify the parameters during the segmentation...
An error occurred when I ran the **_python test.py eval_** command. The error seems to be caused by the network module. Can you try to explain it?
Excuse me , if I want to train the model with my own data and the annotations is segmentation mask. How can I preprocess my data? Thank you
Errors compiling when I install setup.py: (my environment： python:3.8 pytorch:1.10 ninja:1.10.2 And I have solved some errors caused by the high version of pytorch) D:\anaconda3\envs\Wuweb\lib\site-packages\torch\utils\cpp_extension.py:316: UserWarning: Error checking compiler version...
Hello, developer! Thank you very much for your shared code. is it possible to share the preprocessed data?
Hello. Thank you for your shared code. I have a problem about the number of nodules. I have used the LUNA16 data set, which contains 1186 nodules in 594 CT...
when i do that ```bash cd build/box python setup.py install ``` I got this error ```python 84 | #pragma omp parallel for if ((end - begin) >= grain_size) | In...
I am training the model on a new dataset and got this error during epoch 6: File "/data2/NoduleNet/dataset/mask_reader.py", line 124, in __getitem__ return [torch.from_numpy(input).float(), truth_bboxes, truth_labels, truth_masks, masks] UnboundLocalError: local...
I downloaded the file '200.ckpt' on Google Drive, and I changed its name to '001.ckpt' in my project. I trained the model for 50 epoches on fold 3, but I...
