Deep Learning and Artificial Intelligence Methods for Diagnostics in Medical Imaging and Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 20 January 2026
Special Issue Editors
Interests: computer vision; machine learning; deep learning; artificial intelligence; industrial applications of AI tools and methods
Special Issues, Collections and Topics in MDPI journals
Interests: image understanding; machine learning; artificial intelligence; emotion analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, the achievements in medicine and disease diagnosis based on sensors are extraordinary. Needless to say, progress would hardly be possible without the support of advanced technologies. The enormous possibilities in medical imaging and sensing, along with the development of medical image data handling methods, provide the foundations for helping patients and making people’s health and quality of life significantly better. Having said that, it is important to realize that we, as scientists, play a crucial role in this whole process.
Therefore, it is our pleasure to invite scholars to submit their research to this Special Issue of the MDPI journal Sensors, devoted to the applications of deep learning and computer vision in medical imaging and sensing. We are seeking to publish quality contributions to the field of uni- or multimodal medical image data analysis, the development of improvements in medical imaging quality, the diagnosis of diseases, supported or autonomous medical imagery data analysis, and many other vital areas. We welcome high-quality research papers addressing, but not limited to, medical imaging and sensing. We strongly believe that this Special Issue will be the place where exceptional scientific thoughts emerge and will establish new standards for knowledge and scientific experience sharing.
Prospective authors are invited to submit original manuscripts on sensors. Potential topics include but are not limited to:
- Sensor-based medical image processing;
- Computed tomography;
- Micro-computed tomography;
- Cone beam computed tomography;
- Optical coherence tomography;
- Magnetic resonance;
- Ultrasonography;
- Computer-aided diagnosis.
Dr. Sebastian Iwaszenko
Dr. Karolina Nurzynska
Guest Editors
Manuscript Submission Information
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Keywords
- sensor-based medical image processing
- computed tomography
- micro-computed tomography
- cone beam computed tomography
- optical coherence tomography
- magnetic resonance
- ultrasonography
- computer-aided diagnosis
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