Pathology's Changing Environment: Incorporating AI and Its Benefits

There are several important steps involved in setting up an AI workflow. The first step is to define the input data into the system. For example, one might specify that the input images to be classified are rectangular sub-images of a certain size derived from an overlapping grid applied to a whole slide image (WSI). Second, input data should be divided into training data (used to train the classifier) and test data (used to evaluate the classifier.) Third, both training data and test data should be annotated by an expert, to establish a ground truth classification category for each input image.