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This work takes a look at computer vision and graphics as interdisciplinary, multidisciplinary and transdisciplinary fields. Computer vision and graphics belong to the wide area of imaging but acquired their scientific autonomy with their own needs, goals, and methods. These two have brought many methodological contributions in interaction with physics, applied mathematics, etc. New concepts and paradigms were established and partly solved. They belong to the core of the two fields. They also generated a lot of important applications with societal impacts and, in turn, these targets led to new theoretical issues. This way, they reinforced their place as autonomous disciplines and investigated new research spaces. Computer vision and computer graphics have influenced the development of new sensing/actuating technologies as well. Therefore, their identification as such has been beneficial over the last decades, and trying to unify them very likely would be counterproductive in the short term for the many applications they address. This work discusses a key area where major examples can be found - medical applications.