What are the number of jobs for computer vision engineers in the medical imaging field compared to CV engineers outside of the medical imaging field?

The important papers for Computer Vision and Medical Image Analysis/Processing are different. The problems encountered in both fields are different. Computer vision primarily deals with RGB images and has all kinds of light artifacts. Medical images does not have light artifacts but has all kind of aberrant noises. The field of medical image processing is concerned with image-guided surgery, detecting cancer and anatomical structures for radiation therapy, which often involves registration, segmentation and tracking methods. Computer vision's datasets can be vast and range from indoors to outdoors unstructured scenes, and the computer vision methods end up relying on feature extraction and machine learning a lot, more than Medical Image Analysis field. Also, in Medical Image Analysis field, usually, doctors care for more accurate solutions rather than real-time solutions. This is because surgical planning is done the night before the day of surgery/therapy for the patient. In Computer Vision field, it is ok to be wrong sometimes but the result should be in real-time. This is why machine learning is really useful for computer vision, as it can be used in real-time for robots/surveillance. I would say the two fields are similar in terms of math, but the methods/theory are not identical. If you want to switch, make sure you are on top of the non-medical research field, the computer vision field, and be familiar with methods, and OpenCV. Medical imaging community heavily relies on ITK/VTK. In my experience, MRI/CT images are not meant for OpenCV to process. Ankur