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From @bsmarine
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Ideally, there would be a workflow possibly like this: user selects model they would like to use under "Auto Segmentation" and "Annotation" (which would only show…
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Hello
I'm a freshman of radiotherapy field. So I don't understand how to change the code related to the cst cell information.
Actually, i want create my own cell and use in matrad.
How can i do…
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The following sequence of calls throws an exception:
```
paging = LinkedData::Models::Class.in(self).include(:unmapped).aggregate(:count, :children).page(page, size)
results = paging.page(1, size).…
mdorf updated
4 years ago
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## Description
We still have not used much of the DICOM input files that were provided to us by the client. We should ingest them to our system ASAP, and then demonstrate that we can process them end…
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Hi, Huang
I train the Task03_Liver data with the u2net, model is 'independent'
The result of the dirtory 'Task03_Liver/eval_out':
1. the file 'independent_eval_res.csv' is:
independent…
yl255 updated
4 years ago
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# Description
Currently, we are only scaling down in the abdominal organs pipeline. For that one, we need to do it, because the NN will crash with larger inputs. The assumption so far was that for ot…
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I am using dense vnet architecture for multi-organ segmentation of abdominal cavity using "Beyond the Cranial Vault" dataset.
The developers of dense vnet print individual dice scores of the organs o…
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Hello, I'm training a network with a data set of brain CT images to be able to then run a segmentation to identify stroke damage. For the most part I proceed similarly to the abdominal CT experiment, …
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I have benefited a lot after reading your paper, but I have encountered some problems during the experiments.
Would you tell me how to draw a bounding box on a .mhd &.raw file based on the six parame…