Pathology foundation models produce scanner-dependent predictions, and the ScanGen contrastive loss reduces this scanner bias during fine-tuning for EGFR mutation prediction from whole slide images.
In: 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR’06)
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Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss
Pathology foundation models produce scanner-dependent predictions, and the ScanGen contrastive loss reduces this scanner bias during fine-tuning for EGFR mutation prediction from whole slide images.