Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

摘要

Schematic of the Siamese neural network architecture, which takes two images as inputs and outputs the Euclidean distance between the two images (i.e., a measure of similarity). Schematic of evaluating a single image for disease severity on a continuous spectrum. Schematic of two approaches for evaluating longitudinal images for disease severity on a continuous spectrum. refers to the Euclidean distance.