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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Adversarial attacks and adversarial robustness in computational pathology.

Narmin Ghaffari Laleh¹, Daniel Truhn², Gregory Patrick Veldhuizen³

¹Department of Medicine III, University Hospital RWTH Aachen, RWTH Aachen university, Aachen, Germany.

Nature Communications

|September 29, 2022

Summary

This summary is machine-generated.

Artificial Intelligence (AI) in oncology diagnostics is vulnerable to attacks. Vision transformers (ViTs) offer superior robustness against adversarial attacks compared to convolutional neural networks (CNNs), making them ideal for computational pathology.

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2026-06-19T13:39:45.327276+00:00