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  <img src="pathorob_pipeline.png" alt="PathoROB pipeline" style="width: 95%;" align="center"/>
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  PathoROB contains **four datasets** covering 28 biological classes from 34 medical centers and **three metrics**:
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- 1. **Robustness Index**: Measures the ability of an FM to capture biological features while ignoring
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- non-biological features.
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- 2. **Average Performance Drop (APD)**: Measures the impact of non-biological features on the generalization performance of downstream models.
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- 3. **Clustering Score**: Measures the effect of non-biological features on the quality of k-means clusters.
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  <img src="pathorob_overview.png" alt="PathoROB overview" style="width: 95%;" align="center"/>
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  <img src="pathorob_pipeline.png" alt="PathoROB pipeline" style="width: 95%;" align="center"/>
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  PathoROB contains **four datasets** covering 28 biological classes from 34 medical centers and **three metrics**:
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+ 1. **Robustness Index**: Measures the dominance of biological over non-biological features in an FM representation space.
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+ 2. **Average Performance Drop (APD)**: Measures the robustness of downstream models to shortcut learning of non-biological features and the effect on generalization performance.
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+ 3. **Clustering Score**: Measures the robustness of clustering to non-biological features and the impact on the quality of k-means clusters.
 
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  <img src="pathorob_overview.png" alt="PathoROB overview" style="width: 95%;" align="center"/>
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