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@@ -15,6 +15,10 @@ image segmentation tasks. This method is elaborated on the paper [Medical SAM 2:
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## 🩻 3D Abdomen Segmentation Visualisation
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<div align="center"><img width="420" height="420" src="https://github.com/MedicineToken/Medical-SAM2/blob/main/vis/example.gif"></div>
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## Pre-trained weight
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We released our pretrain weight [here](https://huggingface.co/jiayuanz3/MedSAM2_pretrain/tree/main)
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## 🧐 Requirement
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Install the environment:
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Conda Version: 23.7.4
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Python Version: 3.12.4
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```
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We released our pretrain weight [here](https://huggingface.co/jiayuanz3/MedSAM2_pretrain/tree/main)
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## 🎯 Example Cases
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#### Download REFUGE or BCTV or your own dataset and put in the ``data`` folder, create the folder if it does not exist ⚒️

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