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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 23…
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File "D:\HGQ_DL\Nodule-CADx\src\net\nodule_net.py", line 420, in forward
self.mask_probs = data_parallel(self.mask_head, (torch.from_numpy(self.crop_boxes).cuda(), features))
File "D:\anacon…
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老师您好,根据您提供的代码,dice和f1化简之后都等于: 2TP/(2TP+FP+FN),可是在您的论文中为什么会得出不一样的结果呢,应该是一样的啊。还请老师为我答疑解惑,谢谢!
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Hello everyone, I am a Computer science college student and new to radiomics and medical science.
I want to build a radiomics feature-based classifier. I have to take CT scans Dicom images.
Firstl…
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![image](https://user-images.githubusercontent.com/4961164/28054006-e063d51a-6645-11e7-951c-1bc97118a436.png)
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## ❓ Questions and Help
Hi,
Thanks for reading my issue!
I have a dataset consisting of 1.4k thyroid ultrasound images (1.4k ultrasound images(.jpg) and 1.4k groundtruth masks(.png)), and they ar…
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Hi,
I used another dataset with spacing **[0.18, 0.18, 0.18]**, I changed the intensity_transform parameters, the config parameters(including anchors) and made my dataset_fold[i].json accordingly, I …
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Hi, julian,
thank you for your sharing.
I am reading and running your code. I have some problems with the csv files in the resource folder. You had answered similar problems. You said that the luna1…
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## Read and complete the full issue template
Do not randomly delete sections. They are here for a reason.
**Do you want to request a *feature* or report a *bug*?**
- [x] Bug
- [ ] Feature
- […
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Traceback (most recent call last):
File "plain_ train_ net.py", line 25, in
from model. detector import KeypointDetector
Fіlе " /hоmе/dуj /МоnоFlех/mоdеl/dеtесtоr .ру", lіnе б, іn
from backbone …