US 11,741,608 B2
Assessment of fundus images
Allen R. Hart, Knoxville, TN (US); Hongying Krause, Surrey (GB); Su Wang, Surrey (GB); and Ynjiun P. Wang, Cupertino, CA (US)
Assigned to Welch Allyn, Inc., Skaneateles Falls, NY (US)
Filed by Welch Allyn, Inc., Skaneateles Falls, NY (US)
Filed on Aug. 16, 2021, as Appl. No. 17/402,831.
Application 17/402,831 is a continuation of application No. 16/443,234, filed on Jun. 17, 2019, granted, now 11,138,732.
Claims priority of provisional application 62/783,689, filed on Dec. 21, 2018.
Prior Publication US 2021/0374960 A1, Dec. 2, 2021
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06N 20/00 (2019.01); A61B 3/12 (2006.01); G06N 3/08 (2023.01)
CPC G06T 7/0014 (2013.01) [A61B 3/12 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of assessing a fundus image, the method comprising:
obtaining the fundus image;
analyzing a first quality of the fundus image using a first trained model;
analyzing a second quality of the fundus image using a second trained model; and
using the first and second qualities to generate an output, wherein the output includes an automated image capture for a subsequent fundus image.