Fig. 1.

Overview of Similar Medical Images Like Yours (SMILY). First, a database of image patches and a numerical characterization of each patch’s image contents (termed the embedding) is created. SMILY uses a convolutional neural network to compute this embedding (schematic used for illustration purposes only, see Methods for architecture descriptions). Next, when a query image is selected, SMILY computes the embedding of that query image and compares the embedding with those in the database in a computationally efficient manner. Finally, SMILY returns the k most similar patches, where k is customizable