New Advances in Sensing and Artificial Intelligence for Medical Imaging

Dear Colleagues,

Over the last several decades, the evolution and spread of medical sensors and devices for image acquisition increased drastically, revolutionizing many analysis and diagnostic processes of different healthcare services. Specifically, procedures such as screening, diagnosis, and treatment, among others, were improved and complemented with more and better information to facilitate and reinforce a satisfactory clinical performance. On the other hand, this spread of capture devices and sensing implies the analysis and processing of greater amounts of information, a context where computerized solutions are highly desirable to automatically or semi-automatically process considerable amounts of information to facilitate the work of the specialists. In the last several years, the use of signal processing and artificial intelligence in medical imaging have played a crucial role in exploiting the availability of huge amounts of information, improving medical analysis and diagnostics.

This Special Issue is focused on the recent advances in sensing and capture devices for medical imaging as well as proposals for image analysis and especially artificial intelligence for computer-aided biomedical imaging. Given that, contributions are welcome on topics that include but are not limited to:

Biomedical sensors

Integrated medical sensors

Sensors for telemedicine

Wearable sensors for medical applications

Biomedical image analysis

Deep learning in biomedicine

Artificial Intelligence in biomedicine

Applied soft computing

Computer-assisted diagnosis

Image-guided therapy

Image-guided surgery and intervention

Motion analysis

Telemedicine with medical images

Biomedical robotics and haptics

Prof. Marcos Ortega Hortas
Prof. Manuel F. González Penedo
Dr. Jorge Novo Buján
Dr. Enrique Carmona Suárez
Guest Editors

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