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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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---
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# MedM-VL-CT-3B-en
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## Introduction
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A medical LVLM, trained on **English** data, accepts text and **a single 3D CT volume** as input, and text-based results as output, enabling tasks such as **report generation** and **medical VQA**.
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Here are the evaluation results on **M3D-Bench**:
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<table>
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<tr>
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<td rowspan="2"> Method </td>
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<td align="center" colspan="4"> Report Generation </td>
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<td align="center" colspan="5"> Medical VQA </td>
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</tr>
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<tr align="center">
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<td> BLEU </td>
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<td> ROUGE </td>
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<td> METEOR </td>
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<td> BERT-Score </td>
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<td> Accuracy </td>
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<td> BLEU </td>
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<td> ROUGE </td>
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<td> METEOR </td>
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<td> BERT-Score </td>
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</tr>
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<tr>
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<td> RadFM </td>
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<td align="center"> 12.23 </td>
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<td align="center"> 16.49 </td>
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<td align="center"> 11.57 </td>
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<td align="center"> 87.93 </td>
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<td align="center"> 19.79 </td>
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<td align="center"> 16.39 </td>
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<td align="center"> 26.13 </td>
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<td align="center"> 21.33 </td>
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<td align="center"> 88.72 </td>
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</tr>
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<tr>
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<td> M3D-LaMed </td>
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<td align="center"> 15.15 </td>
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<td align="center"> 19.55 </td>
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<td align="center"> 14.38 </td>
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<td align="center"> 88.46 </td>
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<td align="center"> 75.78 </td>
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<td align="center"> 49.38 </td>
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<td align="center"> 52.39 </td>
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<td align="center"> 33.58 </td>
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<td align="center"> 91.53 </td>
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</tr>
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<tr>
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<td> MedM-VL-CT-3B-en </td>
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<td align="center"> <b>49.81</b> </td>
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<td align="center"> <b>52.45</b> </td>
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<td align="center"> <b>49.27</b> </td>
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<td align="center"> <b>90.38</b> </td>
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<td align="center"> <b>80.12</b> </td>
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<td align="center"> <b>56.56</b> </td>
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<td align="center"> <b>59.96</b> </td>
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<td align="center"> <b>39.75</b> </td>
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<td align="center"> <b>92.85</b> </td>
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</tr>
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</table>
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## Quickstart
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Please refer to [MedM-VL](https://github.com/MSIIP/MedM-VL).
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