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Hi, i recently read into your new work "Embarrassingly Simple Scribble Supervision for
3D Medical Segmentation". I saw that partial loss is already implemented in nnUnet (https://github.com/MIC-DKFZ/…
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Hi, thanks for sharing the code. I try to retrain the 3d scene segmentation task on my computer. I get some bugs when I start to train the model. show as below:
`Train 0, loss: 1.834570, train acc: 0…
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Hi, I tried using the original Cellpose for 3D stack tif segmentation. The majority of the DAPI nuclei could not be identified in the first try. However, after adjusting the stitch_threshold from 0 to…
rmd13 updated
6 months ago
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Create a new subclass of [SensoryAgent](https://github.com/MbodiAI/mbodied-agents/blob/b53ffa5f735daf69cda33caeb67de831bdb1ad46/src/mbodied_agents/agents/sense/sensory_agent.py) that returns a [Sample…
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Hi, Nick
I'm doing 3D segmentation with ANTs. And I figured out the example code cannot be used for 3D segmentation.
For my understanding,
I shall perform the scripts createTruthLabels.pl, cr…
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Hello, I would like to ask you what is the matter with light_training, I am doing 3D medical image segmentation, using A40 training, using two SegMamba as my backbone segmentation network, bs=4 burst …
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Hi, thanks for the great work !
Are you planning on releasing the evaluation code for 3D instance segmentation soon ? It would be super helpful.
Best,
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Hello:
I use the 3DUnet model to do the Brain Tumor segmentation task ,and the training set is the MICCAI BraTS 2018 data. When I use the 'python3 net_run.py inference -c ./config/my_unet_config.ini…
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Hi
Thank you for sharing the code.
Is it possible to do both 2D and 3D segmentation?
Does it supports multi class segmentation?
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## Is your feature request related to a problem? Please describe.
In the context of 3D visualization where segmentation are represented as surfaces, we often need to be able to also visualize the u…
jcfr updated
6 months ago