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**Is your feature request related to a problem? Please describe.**
I often work with medical data which involves many different contrasts of the same heart. This means one annotation should be inform…
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Hello and thanks for your work!
In the paper you mentioned the you used ShiftNer for the second stage, do you have the implementetion of this?
Where it’s taking place, inside the PromptMR training l…
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Dear Dr. Euijin Jung,
I hope this message finds you well. I recently read your paper and was impressed by your work. I'm currently working on a master's thesis in a similar area and have a question a…
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### 🐛 Describe the bug
Using this code with the latest version
```
for image in tqdm(images):
images_predictions = model.predict(image, iou=0.5, conf=0.4, class_agnostic_nms=True)
class…
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The .txt file will be updated regularly according to the progress
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We've successfully utilized the SAM 2 framework to address both 2D and 3D medical image segmentation tasks.
Feel free to check **paper** [**Medical SAM 2**](https://arxiv.org/abs/2408.00874) here 🤩
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I am average programmer. Can you please guide me
1- how to run this code in google colab environment?
2- I have dataset of otoscope medical images. how do I generate new synthetic images given my…
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Hello Stephan!! (@theHamsta)
Thanks for sharing this implementation with the community.
I was wondering in which kind of application you used the 3d optical flow estimation
**Problem description:…
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We should add a specific term for structural MRI and keep MRI as the superclass for this term (and all others such as fMRI).
We have MRI registered like this:
https://github.com/openMetadataInitia…
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Hi, I have an interest in your resarch, and trying to finetuning my diffusion model with human feedback data. I have image diffusion model which samples images without text prompts. I also have human …