US 12,094,080 B2
System and method for magnifying an image based on trained neural networks
Yikang Liu, Cambridge, MA (US); Shanhui Sun, Cambridge, MA (US); and Terrence Chen, Cambridge, MA (US)
Assigned to Shanghai United Imaging Intelligence Co., LTD., Shanghai (CN)
Filed by Shanghai United Imaging Intelligence Co., LTD., Shanghai (CN)
Filed on Sep. 13, 2022, as Appl. No. 17/943,724.
Prior Publication US 2024/0087082 A1, Mar. 14, 2024
Int. Cl. G06T 3/4046 (2024.01); G06T 7/11 (2017.01); G06F 3/0482 (2013.01)
CPC G06T 3/4046 (2013.01) [G06T 7/11 (2017.01); G06F 3/0482 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A magnification system comprising a hardware processor configured to:
receive a first user input associated with a selection of a region of interest (ROI) within an input image of a site;
receive a second user input associated with a first magnification factor of the selected ROI, wherein the first magnification factor is associated with a magnification of the ROI in the input image;
modify the ROI based on an application of a first neural network model on the ROI, wherein the modification of the ROI corresponds to a magnified image that is predicted in accordance with the first magnification factor; and
control a display device to display the modified ROI.