GENERALIZATION OF INTENSITY DISTRIBUTION OF MEDICAL IMAGES USING GANS

摘要

A technique for generalizing light intensity distribution of medical images using GAN is disclosed. The light intensity distribution generalization method performed by the light intensity distribution generalization system according to an embodiment is to receive a new data set having a distribution different from the light intensity distribution of a training data set for a medical image for a medical image. step; Adjusting the light intensity distribution of the received new data set based on a Generative adversarial network (GAN); And obtaining a classification result by passing the new data set with the adjusted light intensity distribution through a classification network learned with the training data set.