The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
MedViT: A robust vision transformer for generalized medical image classification
Open accessAbstract
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis. However, there are still concerns about the reliability of deep medical diagnosis systems against the potential threats of adversarial attacks since inaccurate diagnosis could lead to disastrous consequences in the safety realm. In this study, we propose a highly robust yet efficient CNN-Transformer hybrid model which is equipped with the locality of CNNs as well as the global connectivity of vision Transformers. To mitigate the high quadratic complexity of the self-attention mechanism while jointly attending to information in various representation subspaces, we construct our attention mechanism by means of an efficient convolution operation. Moreover, to alleviate the fragility of our Transformer model against adversarial attacks, we attempt to learn smoother decision boundaries. To this end, we augment the shape information of an image in the high-level feature space by permuting the feature mean and variance within mini-batches. With less computational complexity, our proposed hybrid model demonstrates its high robustness and generalization ability compared to the state-of-the-art studies on a large-scale collection of standardized MedMNIST-2D datasets.
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Cited by
Advances in medical image analysis with vision Transformers: A comprehensive review
Azad, R., Kazerouni, A., Heidari, M., Aghdam, E. K., Molaei, A., Jia, Y., Jose, A., Roy, R., & Merhof, D. (2024) · Medical Image Analysis · doi:10.1016/j.media.2023.103000 · Cited by 485
A generalist vision-language foundation model for diverse biomedical tasks
Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03185-2 · Cited by 333
Federated learning for healthcare applications
Chaddad, A., Wu, Y., & Desrosiers, C. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3325822 · Cited by 136
Vision-language foundation model for 3D medical imaging
Wu, J., Wang, Y., Zhong, Z., Liao, W., Trayanova, N., Jiao, Z., & Bai, H. X. (2025) · npj Artificial Intelligence · doi:10.1038/s44387-025-00015-9 · Cited by 41
Metadata
- Authors
- Manzari, O. N., Ahmadabadi, H., Kashiani, H., Shokouhi, S. B., & Ayatollahi, A.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 157
- Pages
- 106791
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W4324144441
- Cited by
- 526
- References
- 32
- FWCI
- 47.82
- Type
- journal article
- Language
- en
- Open access
- green
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- Manzari, O. N., Ahmadabadi, H., Kashiani, H., Shokouhi, S. B., & Ayatollahi, A. (2023). MedViT: A robust vision transformer for generalized medical image classification. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2023.106791
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