Disease Diagnosis Based on Medical Images and Signals
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Biomedical Information and Health".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 94
Special Issue Editors
Interests: biomedical optics; medical image analysis; biosignal processing; artificial intelligence; cancer diagnosis/therapy
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue titled “Disease Diagnosis Based on Medical Images and Signals”, featuring high-quality articles and reviews on advanced computational methodologies in disease diagnosis, focusing on medical image analysis, medical signal processing, deep learning, and transfer learning. Medical image analysis includes innovative techniques for interpreting complex data from imaging modalities such as MRI, CT, microscopy, endoscopy, mammography, and ultrasound. These techniques are crucial for diagnosing various conditions, as they enhance diagnostic accuracy and efficiency through automated disease detection. Medical signal processing involves analyzing physiological signals like ECG, EEG, and EMG. Advances in this field support precise monitoring and the early detection of heart, brain, and muscle irregularities, with machine learning facilitating real-time analysis and remote monitoring. Deep learning, especially using convolutional neural networks (CNNs) and vision transformers (ViTs), has revolutionized medical image analysis and signal processing. These models identify intricate patterns and correlations, improving accuracy and reliability. Transfer learning enhances these capabilities by adapting models from large, generic datasets to specific medical contexts, addressing limited annotated data and accelerating diagnostic tool development. This Special Issue will highlight groundbreaking research integrating these areas, thus advancing diagnostic precision, efficiency, and accessibility in healthcare.
Dr. Se-woon Choe
Dr. Gelan Ayana
Guest Editors
Manuscript Submission Information
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Keywords
- medical image analysis
- medical signal processing
- deep learning
- transfer learning
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