Advances in Deep Learning for Sensor-Based Medical Imaging
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 218
Special Issue Editors
Interests: computer vision; image processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: sensor and system development; machanie learning; biomechanics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of deep learning (DL) in medical imaging has revolutionized how we detect and manage cognitive problems, such as Alzheimer’s disease (AD), Parkinson's disease and various forms of dementia. Traditionally, diagnosis relied heavily on manual clinical evaluations and the subjective interpretation of brain scans by radiologists.
Continued research and application of deep learning (DL) in various cognitive problems is crucial, particularly in improving diagnostic accuracy, reducing diagnostic costs and time, and enabling faster, more accurate, and more automated evaluation procedures. Advances in data-driven deep learning applications and methodologies (e.g., images, patterns) create new possibilities for characterizing and monitoring disease progression in complex medical images.
This Special Issue aims to explore the latest developments in advanced deep learning models for complex medical images. Contributions discuss novel diagnostic models, experimental approaches, and medical image processing for early diagnosis and prevention of disease progression.
Applications can span a wide range of fields, including, but not limited to, image processing, algorithms, neuro-genetic integration, cross-modal synthesis, clinical-imaging hybrids, saliency & heatmapping, and 3D neuroimaging. Considering the recent growth of deep learning, we expect a broad, multidisciplinary audience. We welcome submissions presenting original research concepts, experiments, and results, as well as high-quality, rigorous, and useful reviews, on a wide variety of topics.
Prof. Dr. Chih-Yang Lin
Prof. Dr. Chi-Wen Lung
Guest Editors
Manuscript Submission Information
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Keywords
- deep learning
- prevention
- biomarker
- sensing
- MRI images
- diagnosis
- Alzheimer disease
- dementia
- cognitive problem
- neurodegenerative disease
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