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Hello,
would it be possible to skip a patient and process the next one in case of an error (e.g. empty CT dir) and not stop the process?
And then maybe in the end you get a list of the patient I…
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Instead, use [MONAI's GitHub Discussions tab](https://github.com/Project-MONAI/MONAI/di…
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Hi Ali. In the tutorial of BTCV multi-organ [segmentation,](https://github.com/Project-MONAI/tutorials/blob/main/3d_segmentation/unetr_btcv_segmentation_3d.ipynb) the val dice score is about 80%. How …
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Hello @wasserth,
Firstly, great work in making this tool. All the doctors are relying on its results and it is helping a lot in research communities. I see that, when we run totalsegmentator on on…
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Hello, author, I feel very good after reading your model. I have reproduced your model, but I feel that there is a big fluctuation with the results in the paper. May I ask the author whether this mode…
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Hi and thank you for this initiative !
On Debian 12 with OBS 29.1.3, when I select URL Source to add a new source, OBS crash instantly, heres a backtrace:
```
info: User switched to scene 'Scèn…
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Hello, I want to know:
**“”num2label={'58':1,'86':2,'170':3,'30324':4,'30325':5,'187':6,'40357':7,'40358':8,'237':9,'29193':10,'1302':11,
'1326':12,'29662':13,'29663':14,'480':15,'2473':1…
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We have a situation, firstly we segment a certain organ in the image, and then we segment a certain type of focus.
How we run a cascade network inference by using MonaiLabel.
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Hi,
A group of us in the [highdicom](https://github.com/herrmannlab/highdicom) community (@hackermd @pieper @fedorov) have been playing around with large DICOM Segmentation files and have found som…
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Hello, thank you very much for your work.I have successfully run it on my own dataset, can you tell me the visualization code of the final output of this network? Thank you so much!