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README.md

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   <h2 align="center">[MIDL 2025] Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification 🩺👨🏻‍⚕️</h2>
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-✅ Official implementation of the paper "Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification".
+✅ PyTorch pretrained model weights of"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).
+📄 Accepted at MIDL 2025: [arXiv preprint](https://arxiv.org/abs/2503.20652).
 
-⚡️ Source code available at [https://github.com/theodpzz/ct-scroll](https://github.com/theodpzz/ct-scroll).
+⚡️ PyTorch implementation available at [https://github.com/theodpzz/ct-scroll](https://github.com/theodpzz/ct-scroll).
 
 <p align="center">
   <img src="https://github.com/theodpzz/ct-scroll/blob/master/figures/method_overview.png?raw=true" width="100%">