Vision- and Image-Based Biomedical Diagnostics—2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 119
Special Issue Editors
Interests: computer vision; medical imaging; artificial intelligence; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; computer vision; deep learning; signal processing; geometry processing
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; deep learning; network analysis; computer vision; text analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent significant advances in biomedical imaging have led to not only significantly increased visual fidelity, but also new insights and understanding into diseases that were previously not possible to capture for supporting improved diagnostics and clinical decision support. In parallel, significant advances have been made in image analysis and artificial intelligence techniques for extracting critical visual information from biomedical imaging data, and leveraging this extracted information for predicting the presence of disease as well as the severity of disease to support clinical diagnosis and decision-making processes. The goal of this Special Issue is to promote recent technical advances in all relevant aspects, ranging from improved biomedical imaging systems for diagnosis to applications and techniques for image analysis and artificial intelligence algorithms for diagnostic prediction. The topics of interest include, but are not limited to, the following:
- Biomedical imaging systems and techniques for diagnosis purposes;
- Machine learning and AI algorithms for the diagnosis and prognosis of diseases;
- Image analysis algorithms (segmentation, region-of-interest detection, feature extraction, etc.) for supporting the diagnosis and prognosis of diseases;
- Intelligent systems for vision- and image-based biomedical diagnostics;
- Multimodal fusion methods for combining information from different imaging systems and/or a mix of imaging and clinical metadata.
Prof. Dr. Alexander Wong
Dr. Pengcheng Xi
Dr. Ashkan Ebadi
Guest Editors
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Keywords
- biomedical
- medical
- imaging
- image
- vision
- diagnostics
- prognosis
- artificial intelligence
- machine learning
- imaging modalities
- signal processing
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Related Special Issue
- Vision- and Image-Based Biomedical Diagnostics in Sensors (9 articles)
