Medical Image Analysis for Computer-Aided Diagnosis and Therapy
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 July 2026
Special Issue Editors
Interests: multi-modal AI; visual-language reasoning; medical AI; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Rapid advancements in artificial intelligence and deep learning have revolutionized the field of medical imaging, enabling more accurate, efficient, and automated analysis aiding computer-aided diagnosis and therapy planning. Medical image analysis plays a critical role in detecting, characterizing, and monitoring various diseases, supporting clinicians in making timely and precise decisions; however, challenges remain in terms of developing robust, interpretable, and generalizable AI-driven methods that can seamlessly integrate into clinical workflows
This Special Issue aims to exlore the latest innovations in medical image analyasis for computer-aided diagnosis and therapy, briging together cutting-edge research on AI-driven methodologies, multi-modal image fusion, real-time processing, and explainable AI in medical applications. We welcome original research and review articles on areas of interest including, but not limited to, the following topics:
- AI and deep learning for medical image segmentation, detection, and classification;
- Multi-modal and multi-scale medical image analysis;
- Image-guided interventions and therapy planning;
- Real-time and edge AI for medical imaging applications;
- Explanable and trustworthy AI in medical imaging;
- Data-efficient learning—weakly supervised, semi-supervised, and self-supervised approaches;
- AI-driven radiomics and radiogenomics for disease characterization;
- Challenges in clinical translation, validation, and deployment of AI models.
We invite researchers and practitioners to contribute novel insights and practical applications that push the boundaries of medical image analysis for improved diagnosis and treatment outcomes.
Dr. Junyeong Kim
Dr. Sunjae Yoon
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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 analysis
- compuer-aided diagnosis
- image-guided therapy
- multi-modal imaging
- explainable AI
- radiomics and radiogenomics
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