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hello everyone!I want to train this model on my own dataset(3D organ-segmentation),I want to know which do I need to modify?And I hope to know the pre-processed methods
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Arxiv描述可以实现多目标分割任务，但代码里好像还没有给出对应的解决方案，目前的代码实现下来还不能做多目标分割，请问什么时候更新？
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Hi, I am having some problems inferencing (producing segmentation masks) the Singularity file for DiffTumor, [difftumor_final.sif](https://huggingface.co/qicq1c/DiffTumor/blob/main/difftumor_final.sif…
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## Reference
- [Challenge](https://chaos.grand-challenge.org/Combined_Healthy_Abdominal_Organ_Segmentation/)
- [Download Train and Test Data](https://chaos.grand-challenge.org/Download/)
- [Data In…
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## :question: Question
Is it possible to access the semantic annotations?
### Description
Hi there just a quick question about the annotations.
From what I gather the full dataset we are a…
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# Contrastive Language-Image Pre-training (CLIP) Driven Models and Partially Supervised Learning for Medical Image Segmentation
This issue is to discuss adding the CLIP-Driven Universal Model Featu…
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请问多器官分割可视化代码可以分享一下吗？（Can you share the visualization code for multi organ segmentation?）
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Hello,
I am running the code on multiple partially labelled datasets, including BTCV and FLARE22, with the goal to segment multiple organs using the same model. Since each dataset only have a subse…
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3D convolutions are important too!
Like 2D images in nature, 3D Volume data is very common, such as medical CT and MRI data, where voxels are uniformly distributed in 3D space.
The medical and …
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In the segmentation panel. currently user need to find the organs/names one by one to select a segment then edit the annotation.
When there are hundreds of targets, it will be very hard to find the t…