Biomedical Imaging: Present and Future Challenges, from Image Processing Sensors through Artificial Intelligence
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 1863
Special Issue Editors
Interests: computer vision; artificial intelligence; deep learning; image analysis and processing; visual saliency; biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: laser-induced luminescent techniques; optical spectroscopy; microscopy
Interests: multimedia signal processing; image processing and understanding; image feature extraction and selection; neural network classifiers; object classification and tracking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, we have seen a growing interest in biomedical imaging, which enables the visualization of the structure and functions of biological objects. Biomedical imaging integrates physics, engineering, fundamental biology, and clinical medicine. Recent advances in modern sensors for the analysis of biomedical signals and images have enhanced healthcare efficacy, including in the screening and diagnosis of many diseases, novel treatment methods, self-monitoring, and disease detection. With the development and progress of biomedical imaging technology, biomedical imaging has become an essential tool in daily medical diagnostics. Therefore, biomedical image processing has become more and more important in biomedical research and clinical medicine.
This Special Issue aims to put together original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of (bio)medical imaging. The topics of interest include, but are not limited to, the following:
- Biomedical image analysis and other analyses (including, but not limited to, image quality improvement, image restoration, image segmentation, image registration, and radiomics analysis);
- Biomedical sensing;
- Biomedical imaging and diagnosis;
- Image-guided therapy;
- Computer-aided diagnosis and surgery;
- Digital radiography;
- X-ray computed tomography (CT);
- Positron emission tomography (PET);
- Ultrasound imaging;
- Magnetic resonance imaging (MRI);
- Microscopies;
- Photoacoustic imaging;
- Deep learning;
- Federated learning.
Dr. Alessandro Bruno
Dr. Alessia Artesani
Dr. Pier Luigi Mazzeo
Dr. Faraz Janan
Guest Editors
Manuscript Submission Information
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