ABSTRACT
Computer vision (CV) is a branch of artificial intelligence (AI) which intends to mimic the work done by human vision. The processing of images is taken from digital cameras or video sequences to detect an object of particular interest and classify them accordingly. CV-based AI, machine learning (ML), or deep learning (DL) algorithms can be used in medical imaging (MI) to enhance the productivity of medical professionals. These algorithms can help early diagnosis and treatment of patients. This chapter summarizes the basic concept, evolution of CV, MI techniques, CV algorithms, applications (such as X-Ray, CT, MRI, and sonography), and use cases in MI. Furthermore, the role of vision-based technique in surgical operation theatre includes procedural understanding, detection of an object, and computer-aided navigations. Deployment issues of vision-based techniques are also discussed.
