1. A system, comprising: memory that stores computer readable instructions; a processor that executes the computer readable instructions stored in the memory, which causes the processor to: process each of a plurality of training image data sets from a plurality of patients with known diagnoses with each of a plurality of image processing algorithms, wherein each of the training image datasets is processed with each of the plurality of image processing algorithms to produce a plurality of processed training images, and wherein each of the plurality of image processing algorithms produces one of the plurality of processed training images; extract features of the processed training images to generate feature vectors; and train a classifier with the generated feature vectors to recognize each known diagnosis of the known diagnoses.