US 12,469,189 B1
Artificial intelligence system including three-dimensional labeling using frame of reference projections
Philippe Raffy, Edina, MN (US); Jean-Francois Pambrun, La Prairie (CA); David Dubois, Mirabel (CA); and Ashish Kumar, Danville, CA (US)
Assigned to Change Healthcare Holdings, LLC, Nashville, TN (US)
Filed by Change Healthcare Holdings LLC, Nashville, TN (US)
Filed on Jan. 15, 2021, as Appl. No. 17/150,438.
Int. Cl. G06T 11/00 (2006.01); G06F 21/62 (2013.01); G06T 5/40 (2006.01); G16H 30/40 (2018.01)
CPC G06T 11/003 (2013.01) [G06F 21/6245 (2013.01); G06T 5/40 (2013.01); G16H 30/40 (2018.01); G06T 2210/12 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving, by one or more processors, a plurality of images;
receiving, by the one or more processors, a definition of a three-dimensional volume in a same frame of reference as the plurality of images, wherein the three-dimensional volume is defined based on an intersection of a first two-dimensional bounding box in the same frame of reference and a second two-dimensional bounding box in the same frame of reference;
receiving, by the one or more processors, a label for the three-dimensional volume;
projecting, by the one or more processors, the three-dimensional volume onto each image of the plurality of images;
determining, by the one or more processors and for each image of the plurality of images, an image metric based on the projecting of the three-dimensional volume onto the image, the image metric including, for an image surface area metric defined by a ratio of a first amount of surface area of the image that is contained within the three-dimensional volume to a second amount of surface area of the image that is contained outside of the three-dimensional volume; and
labeling, by the one or more processors and for each image of the plurality of images, the image with the label for the three-dimensional volume when the image metric for the image satisfies an image surface area metric threshold.