SYSTEMS AND METHODS OF TRAINING GENERATIVE-ADVERSARIAL NETWORKS, AS WELL AS USE OF TRAINED GENERATIVE-ADVERSARIAL NETWORKS Russian patent published in 2024 - IPC A61B1/31 G06V10/22 G06V10/44 G06V40/00 G06N3/88 

FIELD: physics.

SUBSTANCE: invention relates to computer systems for training generative adversarial networks. System for training a generative adversarial network using medical images including representations of a feature of interest, comprising: at least one memory unit and at least one processor, capable of performing operations, including: providing a first plurality of images and using the first plurality of images and indicators of the feature of interest, training the object detection network to detect the feature of interest, providing a second plurality of images, which include representations of the feature of interest, wherein the second plurality of images comprises a greater number of images than the first plurality of images, involvement of the network for detecting the trained objects to the second plurality of images, providing manual installation of checks for true and false positives with respect to the first plurality of detections, training the generative adversarial network and retraining the generative adversarial network using at least one additional set of images and detections of the feature of interest.

EFFECT: high accuracy of analysing medical images.

20 cl, 10 dwg