METHOD AND APPARATUS FOR TRAINING GENERATIVE MODEL FOR MEDICAL IMAGE ASSOCIATED WITH PLURALITY OF BODY PARTS

Provided is a method for training a generative model for medical images associated with a plurality of body parts, which is performed by one or more processors and includes receiving medical image data, wherein the medical image data is associated with a plurality of body parts and configured for training a generative model for medical images, acquiring label data associated with the medical image data, wherein the label data comprises a score associated with an anatomical location of at least one body part of the plurality of body parts, and training, based on the received medical image data and the acquired label data, the generative model for medical images.