公开(公告)号：WO2023278196A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/034253

申请日：2022-06-21

Applicant: VARIAN MEDICAL SYSTEMS, INC.

Inventor： SAWKEY, Daren

IPC: G06T7/00 ,  G06K9/62 ,  G06F18/214 ,  G06F18/217 ,  G06N3/045 ,  G06N3/088 ,  G06T11/203 ,  G06T2200/24 ,  G06T2207/10072 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20104 ,  G06T2207/30004 ,  G06T2207/30016 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/12 ,  G06V10/46 ,  G06V10/752 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82 ,  G06V2201/031 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20

Abstract: A localized evaluation network incorporates a discriminator (111a) acting as classifier, which may be included within a generative adversarial network, GAN (111). GAN (111) may include a generative network such as U-NET for creating segmentations. The localized evaluation network is trained on image pairs (220) including medical images of organs of interest and segmentation (mask) images. The network is trained to distinguish whether an image pair (220) does or does not represent the ground truth. GAN (111) examines interior layers of the discriminator (111a) and evaluates how much each localized image region contributes to the final classification. The discriminator (111a) may analyze regions of the image pair (220) that contribute to a classification by analyzing layer weights of the machine learning model.