Article

Adversarial Robustness of Capsule Networks for Medical Image Classification

2026-03-10

Abstract excerpt

<h4>Purpose</h4> Deep learning models are increasingly being used in medical diagnostics, but their vulnerability to adversarial perturbations raises concerns about their reliability in clinical applications. Capsule networks (CapsNets) are a promising architecture for medical imaging tasks, given their ability to model spatial relationships and train with smaller amounts of data. Although previous studies have f...

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Literature Corpus work: 39a1cc4b-64ef-5c8f-8423-8863315dd1cc
DOI: 10.64898/2026.03.09.26347900

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