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@@ -11,7 +11,7 @@ A retrained ConVIRT model for benchmarking medical vision-language pre-training
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  ## Model Details
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  - **Model Type**: ConVIRT
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- - **Architecture**: ResNet-50 image encoder and BERT text encoder
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  - **Original Papers**: [Contrastive Learning of Medical Visual Representations from Paired Images and Text](https://arxiv.org/abs/2010.00747)
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  - **Benchmark Paper**: [BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays](https://arxiv.org/abs/2410.21969)
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  - **Benchmark Framework**: https://github.com/yangzhou12/BenchX
 
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  ## Model Details
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  - **Model Type**: ConVIRT
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+ - **Architecture**: ResNet-50 image encoder and BioMed-RoBERTa-base text encoder
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  - **Original Papers**: [Contrastive Learning of Medical Visual Representations from Paired Images and Text](https://arxiv.org/abs/2010.00747)
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  - **Benchmark Paper**: [BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays](https://arxiv.org/abs/2410.21969)
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  - **Benchmark Framework**: https://github.com/yangzhou12/BenchX