Patent ID: 11972593
Assignee: GE PRECISION HEALTHCARE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 0:
1. A method comprising:
receiving an image including a region of interest;
determining a segmentation mask for the region of interest using a trained machine learning model;
placing a caliper at a position within the image based on the segmentation mask;
determining an uncertainty of the position of the caliper based on an uncertainty of the segmentation mask, wherein the uncertainty of the segmentation mask is determined by:
applying a plurality of augmentations to the image to produce a plurality of augmented images;
feeding each of the plurality of augmented images to the trained machine learning model to produce a plurality of segmentation masks of the region of interest; and
determining the uncertainty of the segmentation mask based on variations between the plurality of segmentation masks by:
applying to each of the plurality of segmentation masks a reverse augmentation to produce a plurality of un-augmented segmentation masks, and determining segmentation label variation across each corresponding pixel of the plurality of un-augmented segmentation masks to determine a pixel-wise variation between each of the plurality of segmentation masks; and

responding to the uncertainty of the position of the caliper being greater than a pre-determined threshold by:
displaying a visual indication of the position of the caliper via a display device; and
prompting a user to confirm or edit the position of the caliper.