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README.md
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@@ -12,7 +12,7 @@ A retrained MGCA-ResNet50 model for benchmarking medical vision-language pre-tra
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## Model Details
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- **Model Type**: MGCA-ResNet50
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- **Architecture**: ResNet-50 image encoder and
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- **Original Papers**: [Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning](https://arxiv.org/abs/2210.06044)
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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**: MGCA-ResNet50
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- **Architecture**: ResNet-50 image encoder and BioClinicalBERT text encoder
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- **Original Papers**: [Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning](https://arxiv.org/abs/2210.06044)
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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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