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README.md

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@@ -219,7 +219,7 @@ CCD integrates two expert models for **clinical signal extraction**:
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| **DenseNet** | [torchxrayvision/densenet121-res224-chex](https://huggingface.co/torchxrayvision/densenet121-res224-chex) | CheXpert (Stanford)|
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| **MedSiglip** | [google/medsiglip-448](https://huggingface.co/google/medsiglip-448) | Variant of [SigLIP](https://arxiv.org/abs/2303.15343) |
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| **View Model** | [ChestViewSplit](https://github.com/xinario/chestViewSplit) | `Frontal` or `Lateral` |
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| **View Model** | [ChestViewSplit](https://github.com/xinario/chestViewSplit) | 'Frontal' or 'Lateral' |
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> [!TIP]
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> When deploying *DenseNet*, it has been upgraded to support the *view classification expert model*, which helps the system better understand the view position of chest X-rays, thereby improving the accuracy of report generation. *MedSigLIP* has also been configured accordingly. The design is inspired by the [MAIRA-2 chat template](https://huggingface.co/microsoft/maira-2/blob/main/processing_maira2.py#L191).

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