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Ahmed Serag

1 paper indexed

crossrefMachine Learning and Knowledge Extraction2026-06-12

Do Foundation Models Truly Outperform Domain-Specific Models? Evidence from Digital Pathology

Chaima Ben Rabah, Ahmed Serag

Foundation models (FMs) are increasingly proposed as general-purpose solutions for computational pathology, with the potential to simplify clinical artificial intelligence deployment by reducing the need for task-specific architectures. However, their reliability across cancer do…

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