Special Issue "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: 31 December 2022 | Viewed by 237

Special Issue Editors

Dr. Nadia Brancati
E-Mail Website
Guest Editor
Institute for High Performance Computing and Networking of National Research Council of Italy, ICAR-CNR, 80131 Naples, Italy
Interests: image analysis; deep learning; medical imaging; pattern recognition; computer vision
Dr. Maria Frucci
E-Mail Website
Guest Editor
Institute for High Performance Computing and Networking of National Research Council of Italy, ICAR-CNR, 80131 Naples, Italy
Interests: computer vision; pattern recognition; deep learning; medical imaging; biometrics
Prof. Dr. Daniel Riccio
E-Mail Website1 Website2
Guest Editor
Department of Electrical and Information Technology Engineering, Università di Napoli Federico II, 80125 Napoli, Italy
Interests: pattern recognition; computer vision; deep learning; medical imaging; biometrics
Dr. Mara Sangiovanni
E-Mail Website
Guest Editor
Institute for High Performance Computing and Networking of National Research Council of Italy, ICAR-CNR, 80131 Naples, Italy
Interests: deep learning; medical imaging; machine learning on NGS data

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • medical imaging
  • deep learning
  • transformers

Published Papers

This special issue is now open for submission.
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