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@@ -49,8 +49,7 @@ The corresponding research article describing the dataset is available at:
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  GastroNet-5M serves as a foundation for:
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  - **Pretraining** visual models for gastrointestinal endoscopy
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  - **Transfer learning** in downstream diagnostic tasks
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- - **Benchmarking** model performance under varied imaging conditions
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- - **Research** on data heterogeneity, robustness, and quality control
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  ---
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  GastroNet-5M serves as a foundation for:
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  - **Pretraining** visual models for gastrointestinal endoscopy
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  - **Transfer learning** in downstream diagnostic tasks
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+ - **Research** on data heterogeneity, robustness, and generalization
 
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  ---
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