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README.md

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-## Code repository
+<p align="center">
+  <h2 align="center">[MIDL 2025] Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification 🩺👨🏻‍⚕️</h2>
+</p>
 
-The project source code can be found [here](https://github.com/theodpzz/ct-scroll).
+✅ Official implementation of the paper "Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification".
+
+📄 Paper accepted for publication at MIDL 2025: [arXiv preprint](https://arxiv.org/abs/2503.20652).
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+💻 Source code available at [https://github.com/theodpzz/ct-scroll](https://github.com/theodpzz/ct-scroll).
+
+## 🔥 Available resources
+
+**model_state_dict.pt**: Model trained on the CT-RATE **train** set.
+
+**thresholds.csv**: per-abnormality classification thresholds, optimized on the CT-RATE **validation** set.
+
+**metrics_ctrate.csv**: per-abnormality and global classification metrics, evaluated on the **CT-RATE test** set.
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+**metrics_radchestct.csv**: per-abnormality and global classification metrics, evaluated on the **Rad-ChestCT test** set.
+
+## 🤝🏻 Acknowledgment
+
+We thank contributors from the CT-RATE dataset available at [https://huggingface.co/datasets/ibrahimhamamci/CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE), and from the Rad-ChestCT dataset available at [https://zenodo.org/records/6406114](https://zenodo.org/records/6406114)