US 11,972,575 B2
Systems and methods for generating augmented segmented image set
Supratik Bose, Walnut Creek, CA (US); and Jonathan Maltz, Walnut Creek, CA (US)
Assigned to UIH AMERICA, INC., Houston, TX (US)
Filed by UIH AMERICA, INC., Houston, TX (US)
Filed on Jun. 4, 2020, as Appl. No. 16/892,311.
Application 16/892,311 is a continuation of application No. 16/004,387, filed on Jun. 9, 2018, granted, now 10,685,445.
Prior Publication US 2020/0302613 A1, Sep. 24, 2020
Int. Cl. G06T 7/168 (2017.01); A61N 5/10 (2006.01); G06T 7/11 (2017.01)
CPC G06T 7/168 (2017.01) [A61N 5/1039 (2013.01); G06T 7/11 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method implemented on a computing device having at least one processor, and at least one computer-readable storage medium, the method comprising:
obtaining a segmentation model configured to identify a plurality of pixels representing an anatomical structure in an image, wherein the segmentation model is determined by training an initial model using one or more second images, and the one or more second images are artificial images generated based on one or more first images, each of the one or more second images is generated by a process including:
extracting a first anatomical structure from one of the one or more first images;
generating a transformed anatomical structure by transforming at least one of an area, a location, or a shape of a contour of the extracted first anatomical structure; and
generating the second images based on the transformed anatomical structure;
obtaining a treatment image relating to the anatomical structure; and
identifying a plurality of pixels representing the anatomical structure in the treatment image using the segmentation model.