Sensor Data Acquisition and Application: Medical Imaging and Information Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (25 January 2024) | Viewed by 345
Special Issue Editor
Special Issue Information
Medical imaging is an area that has significantly benefited from the advances and innovations that have emerged in the field of sensor technology. Sensors play an important role in improving the quality of medical images by providing high-resolution and real-time data to help physicians and clinicians develop more accurate diagnoses and treatment plans.
Sensing-related technologies and applications are increasingly being used in computer-aided detection and identification systems in the medical and biomedical fields. One of the many advantages of computer-aided systems is objectivity, while human experts can be subjective depending on their experience and expertise. These systems help identify specific diseases, enabling physicians to provide more timely, accurate, and effective treatment. It also helps automate time-consuming and error-prone tasks, resulting in significant improvements in patient care.
As medical imaging becomes widely accessible, the number of public-domain medical image databases increases; screening and analysis tools using image processing and machine learning techniques become needed, especially for large datasets. The scope and difficulty of designing detection and diagnosis systems require interdisciplinary collaborations between medical and engineering teams.
Medical imaging applications involving sensors technology include but are not limited to, magnetic resonance imaging (MRI), computed tomography (CT), and X-ray technology. These applications are used for different purposes, such as diagnosing cancer or detecting fractures. Integrating sensors and imaging technologies in healthcare facilities also involves many applications, such as electroencephalography (EEG), for real-time brain activity measurement. Many techniques and applications related to data collection and information processing are also involved in this topic.
The topics that will be covered include (but are not limited to):
- Medical imaging;
- Medical devices;
- Information fusion for medical data;
- Health informatics;
- Image recognition;
- Speech/audio/image processing;
- EEG Signals;
- Signal processing;
- Computer-aided diagnosis;
- Artificial intelligence in healthcare;
- M-Health systems.
Dr. Buket D. Barkana
Guest Editor
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