Currently I can make use of Clara model in 3D slicer to segment CT scans one by one. But I have tens of scans to segment. Loading and segmenting take a lot of time. Thus I wonder if I can segment tens of volumes at once and save all segmentation files?
Thank you for your great job. I modified the code in your second link. Now I can segment and visualize the liver organ. However, I didnāt know how to save the segmentation file into āniiā format. The segmentationNode seems to be āMRMLCorePython.vtkRMLSegmentationNodeā. When I try to save it using āslicer.util.saveNodeā, it always return āFalseā. Looking forward to your response!
Nifti is developed for neuroimaging and for that it is a good choice, but it has several disadvantages when you try to use it as a general-purpose image file format.
Instead, I would recommend to use nrrd format. It has simple, human-readable header, can be easily customized to store custom fields, it has better support for multidimensional images, etc.
If you absolutely must use nifti (again, I would not recommend) then export the segmentation to binary labelmap and then you can save that in any format you want, including nifti.
Hi, Lasso,
I try to use Clara model to segment my local CT data. But currently, it doesnāt work now. The error is shown as below. Do you have any idea about that?
http.client.RemoteDisconnected: Remote end closed connection without response
The server has been working well for months but today there seems to be some network connectivity issues with the server. The service should be restored soon or you can set up your own server.
Thank you. It seems the environment has been restored. However, there is still one volume that canāt be segmented. It may due to the large size of the volume. By the way, Do you have idea if I want to use the Clara model when using in publication. I didnāt find any citation online.
You need to crop and resample input volume to approximately match inputs used for training.
I would refer to it as āNVidia Clara AIAA (NVidia, Santa Clara, California, U.S.A.) + the used modelās nameā and also cite papers that describe how the models were trained, and of course 3D Slicer.