Machine Learning and Deep Learning in Medical Imaging Diagnostics

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 8

Special Issue Editor


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Guest Editor
Department of Signal Theory and Communications, Higher Polytechnic School, Universidad de Alcalá de Henares, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Alcalá de Henares, Spain
Interests: deep learning; neural networks; medical images
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Special Issue Information

Dear Colleagues,

The rapid growth of artificial intelligence has brought machine learning (ML) and deep learning (DL) to the forefront of medical imaging research and practice. These technologies are driving significant progress in diagnostic accuracy, efficiency, and reproducibility, offering unprecedented opportunities for clinicians and researchers alike. This Special Issue aims to explore the latest advances and applications of ML and DL in medical imaging diagnostics, including, but not limited to, image reconstruction, segmentation, classification, and quantitative analysis.

Particular attention will be given to challenges such as model interpretability, generalizability across populations and imaging modalities, and integration into real-world clinical workflows. Contributions addressing ethical considerations, data privacy, and the use of federated or privacy-preserving learning techniques are also encouraged. By showcasing a wide range of innovative studies and practical implementations, this Special Issue seeks to provide a comprehensive overview of how AI-driven approaches are transforming diagnostic imaging and shaping the future of precision medicine.#

Dr. María Prados Privado
Guest Editor

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. Algorithms is an international peer-reviewed open access monthly 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 1800 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
  • machine learning
  • deep learning
  • diagnostic accuracy
  • artificial intelligence in healthcare

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Published Papers

This special issue is now open for submission.
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