Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps.

However, for 40 external cases scanned on the AT2, the difference was highly significant (P = 0.003), highlighting a potential impact of scanner variability on model performance.

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For binary classification of 40 external slides scanned on the GT450, the performance difference between the model and pathologists was borderline significant (P = 0.02), suggesting high model performance on this dataset.

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