  Pathology images of histopathology can be acquired from camera-mounted
microscopes or whole slide scanners. Utilizing similarity calculations to match
patients based on these images holds significant potential in research and
clinical contexts. Recent advancements in search technologies allow for
implicit quantification of tissue morphology across diverse primary sites,
facilitating comparisons and enabling inferences about diagnosis, and
potentially prognosis, and predictions for new patients when compared against a
curated database of diagnosed and treated cases. In this paper, we
comprehensively review the latest developments in image search technologies for
histopathology, offering a concise overview tailored for computational
pathology researchers seeking effective, fast and efficient image search
methods in their work.
