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Advances in Medical Image Processing
This special issue belongs to the section “Machine Learning and Artificial Intelligence in Diagnostics“.
Special Issue Information
Dear Colleagues,
Medical image processing has become an indispensable component of modern healthcare, enabling more accurate diagnosis, optimized treatment planning, and continuous disease monitoring. With the rapid development of artificial intelligence, this field has witnessed remarkable progress in recent years. These advances have not only enhanced the accuracy and efficiency of medical image analysis but also paved the way for personalized medicine and large-scale clinical applications.
This Special Issue will highlight the latest research and technological innovations in medical image processing, with an emphasis on both cutting-edge methodologies and their translational impact across diverse clinical scenarios. Topics of interest include novel algorithms for image enhancement, segmentation, registration, detection, classification, reconstruction, cross-modal fusion, clinical report generation, and the integration of deep learning into traditional imaging workflows. Studies emphasizing real-world clinical validation, robustness, interpretability, fairness, and generalization are strongly encouraged.
For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Adaptation of foundation models for medical imaging;
- Generative AI for medical image synthesis and augmentation;
- Advanced image segmentation, registration, and enhancement;
- Multimodal and cross-domain image fusion;
- Computer-aided diagnosis and detection;
- Medical image reconstruction and quality assessment;
- Explainable and trustworthy AI for clinical interpretability;
- Applications in radiology, pathology, oncology, and other clinical domains.
We look forward to receiving your contributions.
Dr. Zhiwei Wang
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. Diagnostics 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 2600 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 image processing
- foundation models
- multimodal learning
- computer-aided diagnosis
- image segmentation and registration
- generative AI
- clinical decision support
- representation learning
- explainable and trustworthy AI
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