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README.md
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title: BrainGemma3D
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emoji: 🚀
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colorFrom: gray
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sdk: gradio
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sdk_version: 6.6.0
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app_file: app.py
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pinned: false
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license: cc-by-4.0
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short_description: 🧠Brain Report Automation via Inflated ViT in 3D
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---
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# 🧠 BrainGemma3D Dashboard
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You can test the dashboard with publicly available brain MRI datasets:
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### BraTS (Brain Tumors):
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- Download from: [BraTS
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- Example: `BraTS20_Training_001_flair.nii.gz`
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###
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- Download from: [
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- Requires registration (free for researchers)
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## 📊 Performance Benchmarks
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### Accuracy Metrics (BraTS 2020
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| Metric | BrainGemma3D | Baseline |
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|--------|--------------|----------|
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### Built With
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- [Google MedGemma](https://huggingface.co/google/medgemma-1.5-4b-it) — Medical domain language model
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- [Google MedSigLIP](https://huggingface.co/google/medsiglip-base-patch16-448) — Medical vision encoder
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- [BraTS 2021](https://www.med.upenn.edu/cbica/brats2021/) — Brain tumor segmentation dataset
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- [Hugging Face Transformers](https://huggingface.co/docs/transformers) — Model framework
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---
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- **MedGemma Model Family**: https://huggingface.co/google/medgemma
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### Datasets
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- **BraTS
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---
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---
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title: BrainGemma3D
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emoji: 🚀
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colorFrom: gray
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colorTo: blue
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sdk: gradio
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sdk_version: 6.6.0
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app_file: app.py
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pinned: false
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license: cc-by-4.0
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short_description: 🧠Brain Report Automation via Inflated ViT in 3D
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---
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# 🧠 BrainGemma3D Dashboard
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You can test the dashboard with publicly available brain MRI datasets:
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### BraTS (Brain Tumors):
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- Download from: [BraTS 2020](https://www.kaggle.com/datasets/awsaf49/brats20-dataset-training-validation)
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- Example: `BraTS20_Training_001_flair.nii.gz`
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### MPI-Leipzig Mind-Brain-Body (Healthy Controls):
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- Download from: [MPI-Leipzig Mind-Brain-Body](https://openneuro.org/datasets/ds000221/versions/00002)
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- Requires registration (free for researchers)
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---
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## 📊 Performance Benchmarks
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### Accuracy Metrics (BraTS 2020 dataset)
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| Metric | BrainGemma3D | Baseline |
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|--------|--------------|----------|
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### Built With
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- [Google MedGemma](https://huggingface.co/google/medgemma-1.5-4b-it) — Medical domain language model
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- [Google MedSigLIP](https://huggingface.co/google/medsiglip-base-patch16-448) — Medical vision encoder
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- [Hugging Face Transformers](https://huggingface.co/docs/transformers) — Model framework
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---
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- **MedGemma Model Family**: https://huggingface.co/google/medgemma
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### Datasets
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- **[BraTS 2020](https://www.kaggle.com/datasets/awsaf49/brats20-dataset-training-validation)**: 369 brain tumor MRI cases with clinical annotations from [TextBraTS 2021](https://github.com/Jupitern52/TextBraTS)
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- **Healthy Controls**: 99 preprocessed healthy brain scans (skull-stripped, normalized) from [MPI-Leipzig Mind-Brain-Body](https://openneuro.org/datasets/ds000221/versions/00002)
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