Artificial Intelligence in Medical Imaging and Visual Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 33884
Please contact the Guest Editor or the Section Managing Editor at ([email protected]) for any queries.
Special Issue Editors
Interests: Computer Vision (sensors for smart systems and object reconstruction), Biomedical Imaging (CAD systems for early detection and diagnosis of colon and lung cancers, and image-guided minimally-invasive interventions), Bioemtrics (facial information modeling for education and biomedical applications) and Oral health (3D optical scanning of the human jaw and applications in orthodontics and telehealth)
Interests: Image Modeling, Sensor Planning for Smart Systems, Multimodality Imaging, Face Recognition at a distance, and quantifying student engagement in STEM subjects using non-intrusive sensors, and wireless biometric sensor networks
Special Issue Information
Dear Colleagues,
Sensors welcomes submissions to this Special Issue on “Artificial Intelligence in Medical Imaging and Visual Sensing”. The term “visual sensor” denotes a sensor, which, similar to the human eye, captures at least a two-dimensional image of the object being measured. The intensity distribution of this optical image is detected and evaluated by a sensor. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, laser-structured light vision systems, medical imaging modalities, and more sophisticated 3D systems. Every visual sensing technique has specific characteristics that make them useful to solve different problems. Their range of applications is wide and varied.
Recently, Artificial Intelligence (AI) research within medicine is growing rapidly. Artificial intelligence can achieve outstanding performance in many health technologies. AI provides techniques that enhances sensors performance and acquisition time. Artificial intelligence has been well accepted as the future of medical sensor applications.
This Special Issue will present some of the possibilities that visual sensing techniques offer, focusing on the different configurations that can be used and novel applications in medical applications. Also, it will present the current trends in medical AI. Furthermore, scholarly reviews by established researchers presenting a deep analysis of a specific problem of visual sensing sensors and systems with biomedical focus would also be appropriate.
Prof. Aly Farag
Dr. Asem M. Ali
Guest Editors
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Keywords
The Special Issue topics include, but are not limited to the following:
- Computer Vision
- Medical Imaging
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Medical imaging process
- Medical image analysis
- Novel technologies in Medical Imaging
- Visual sensors in medical Application
- Computer vision in modeling and reconstruction from medical images
- Imaging and Sensing in medicine
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