Advances of Transformers in Medical Imaging
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1128
Special Issue Editors
Interests: image analysis; deep learning; medical imaging; pattern recognition; computer vision
Interests: computer vision; pattern recognition; deep learning; medical imaging; biometrics
Interests: pattern recognition; computer vision; deep learning; medical imaging; biometrics
Special Issue Information
Dear Colleagues,
Differently from CNNs which only exploit local features in each level, transformers are designed to capture a long range of information. This aspect is currently receiving great interest in the medical imaging field, where the global information of images plays a key role in the diagnosis, prognosis and treatment of diseases.
The aim of this Special Issue is to collect contributions which take into account the current advances in the application of transformer models in the medical imaging field, with the intent of expanding the state-of-the-art and proposing novel approaches exploring the limitations and advantages of these novel emerging architectures.
Dr. Nadia Brancati
Dr. Maria Frucci
Prof. Dr. Daniel Riccio
Dr. Mara Sangiovanni
Guest Editors
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Keywords
- medical imaging
- deep learning
- transformers
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