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- [x] Upgrade dependency
- [x] Unit Test and Integration pass
- [x] Verify Radiology App for all models (infer, train on single/multi-gpu)
- [x] Verify Pathology App for all models (infer, train on…
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**Is your feature request related to a problem? Please describe.**
There are cases where multiple AI models are needed in the same application to provide the final inference result, typically one mod…
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When i use OHIF Viewer with monai label. There is a problem that the result of auto spleen segmentation is not correct like this image.
And with comparison of auto segmentation
It seems that t…
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Great job and thanks for the kindness to share the code and baseline models!
We have a dataset consisting of multi-phase contrast enhanced abdominal CT scans, and would like to segment the livers an…
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Hello, I have noticed that you used MT-Unet in your project, I am wondering about the performance of this network,can you share the experiment result with me?thank you.
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**Is your feature request related to a problem? Please describe.**
As we already merged the first version implementation, will quickly test it and refine soon, this ticket is used to track the feedba…
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Hello, Thank you for your work. I want to use the poly loss for image segmentation. I have input [B,C,H,W] and mask as [B,H,W]. I have ignore_indexes too in masks. how can I use your provided loss fu…
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## ERROR: Function uses organ_segmentation for synthetic box object
Traceback (most recent call last):
File "/home/mjirik/projects/lisa/tests/vessels_segmentation_test.py", line 84, in test_synthe…
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Dear Authors,
Thanks so much for the great work! I found these two papers from your group are quite interesting:
[1]. UNETR: Transformers for 3D Medical Image Segmentation
[2]. Self-Supervised Pr…
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Hello, thanks for your nice work.
I followed your training strategy in UNTER and trained model in another dataset of 13 organ segmentation. But the model converges very slowly. I using the CE and D…