Biomedical Image Processing and Classification, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 1050
Special Issue Editor
Interests: biomedical signal and image processing and classification; biophysical modelling; clinical studies; mathematical biology and physiology; noninvasive monitoring of the volemic status of patients; nonlinear biomedical signal processing; optimal non-uniform down-sampling; systems for human–machine interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical image processing is an interdisciplinary field that spans several disciplines, including electrical engineering, computer science, physics, mathematics, physiology, and medicine. Various imaging techniques have been developed, providing many approaches to study the body, including X-rays for computed tomography, magnetic resonance imaging, ultrasound, positron emission tomography, elastography, single-photon emission computed tomography, functional near-infrared spectroscopy, endoscopy, thermography, and photoacoustic imaging. Bioelectric sensors, when used in high-density systems (for example, in electroencephalography or electromyography), can also provide maps that can be studied using image processing methods. Biomedical image processing has an increasing number of important applications, for example, in studying the internal structure or function of an organ and in diagnosing or treating disease. When combined with classification methods, it can support the development of computer-aided diagnostic (CAD) systems, for example, for the identification of diseased tissue or a specific lesion or malformation. Recent developments in deep learning approaches have also allowed information to be directly extracted (e.g., via segmentation or classification) from medical images.
The aim of this Special Issue is to collect high-quality contributions that document a wide range of image processing applications to solve biomedical problems. The topics of interest include (but are not limited to) image enhancement, registration, segmentation, restoration, compression, and movement tracking, with the aim of identifying the tissue properties or pathology of a patient.
Dr. Luca Mesin
Guest Editor
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Keywords
- image registration
- image segmentation
- motion tracking
- computer-added diagnosis
- deep learning
- machine learning and classification
- patient-specific diagnosis
Related Special Issue
- Biomedical Image Processing and Classification in Electronics (7 articles)
