15. The method of claim 1 , further comprising: scaling, by the computing device, the target image and each of the candidate images such that an image size of the target image and images sizes of each of the candidate images match an image size interpretable using the machine-learned, deep metric network model.
16. The method of claim 15 , wherein scaling the target image and each of the candidate images comprises, for each respective image: determining, by the computing device, a location of a cellular nucleus within the respective image; and cropping, by the computing device, the respective image based on a rectangular box centered on the cellular nucleus.