Medical Image Processing and Analysis Based on Sensor Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 45
Special Issue Editors
Interests: medical image processing; AI fairness
Special Issue Information
Dear Colleagues,
Advances in sensor technology are revolutionizing medical imaging, enabling the acquisition of multi-modal, high-resolution, and real-time data from modalities such as MRI, CT, ultrasound, and wearable biosensors. This Special Issue focuses on cutting-edge research integrating artificial intelligence with sensor-based medical image processing and analysis. Emerging foundation models trained on large-scale multi-domain datasets offer unprecedented generalization, while few-shot learning and context learning provide solutions to the scarcity of labeled data in rare disease diagnosis. The Special Issue also addresses AI fairness to mitigate bias across patient demographics, imaging devices, and clinical environments. Innovative image enhancement techniques, including physics-informed super-resolution, low-dose denoising, and adaptive contrast optimization, aim to improve diagnostic reliability while minimizing patient exposure. Contributions exploring multimodal sensor fusion, explainable AI, and edge/cloud-based real-time inference are particularly welcome. By bringing together these advancements, this Special Issue aims to promote equitable, accurate, and efficient medical image analysis systems, bridging the gap between sensing technology and intelligent healthcare solutions.
Dr. Weimin Tan
Guest Editor
Dr. Dawei Dai
Guest Editor Assistant
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Keywords
- medical image processing
- sensor technology
- foundation models
- AI fairness
- image enhancement
- multimodal fusion
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