Article

Do Hybrid CNN–Transformer Architectures Really Generalize? A Systematic Review for Medical Imaging

2026-03-26

Abstract excerpt

<title>Abstract</title> <p>This article presents a systematic review of hybrid CNN–Transformer architectures, examining whether and how their structural design supports generalization across diverse medical imaging scenarios. While convolutional neural networks offer strong spatial inductive biases and data efficiency, and Vision Transformers provide superior global context modeling, neither paradigm alone adequa...

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Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work: 5e684d56-1d66-5375-a218-c338817a20d5
DOI: 10.21203/rs.3.rs-9216007/v1

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