Imaging

This reference work provides a comprehensive and modern approach to the imaging of numerous non-traumatic and traumatic emergency conditions affecting the human body. It reviews the latest imaging techniques, related clinical literature, and appropriateness criteria/guidelines, while also discussing current controversies in the imaging of acutely ill patients.

Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning.
Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches.