US 11,790,643 B2
Deep learning for tooth detection and evaluation
Ya Xue, Chapel Hill, NC (US); Yingjie Li, Cary, NC (US); Chao Shi, Morrisville, NC (US); Aleksandr Anikin, Moscow (RU); Mikhail Toporkov, Kolomna (RU); and Aleksandr Sergeevich Karsakov, Moscow (RU)
Assigned to Align Technology, Inc., San Jose, CA (US)
Filed by Align Technology, Inc., San Jose, CA (US)
Filed on Apr. 30, 2021, as Appl. No. 17/246,504.
Application 17/246,504 is a continuation of application No. 16/182,452, filed on Nov. 6, 2018, granted, now 10,997,727.
Claims priority of provisional application 62/582,785, filed on Nov. 7, 2017.
Prior Publication US 2021/0264611 A1, Aug. 26, 2021
Int. Cl. G06F 18/2413 (2023.01); G06V 30/19 (2022.01); G06T 7/13 (2017.01); G06T 7/00 (2017.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01)
CPC G06V 10/82 (2022.01) [G06F 18/24143 (2023.01); G06T 7/0012 (2013.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01); G06V 30/19173 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30004 (2013.01); G06V 2201/033 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a two-dimensional (2D) image of a face of a patient, the 2D image including a depiction of teeth of the patient;
processing the 2D image of the face using one or more trained machine learning model, wherein the one or more trained machine learning model outputs a pixel-level classification of pixels in the 2D image, the pixel-level classification comprising a first set of pixels classified as being inside of a first bounding shape that bounds a first plurality of teeth of the teeth depicted in the 2D image of the face of the patient and a second set of pixels classified as being outside of the first bounding shape;
performing a classification comprising at least one of:
a) classifying, by the one or more trained machine learning model, the 2D image as depicting one of an anterior view, a side view or an occlusal view; or
b) classifying, by the one or more trained machine learning model, the 2D image as appropriate for further processing or as not appropriate for further processing;
cropping the 2D image of the face of the patient to leave a first region comprising the first set of pixels classified as being inside of the first bounding shape and to remove a second region comprising the second set of pixels classified as being outside of the first bounding shape, wherein the cropped 2D image comprises depictions of the first plurality of teeth; and
performing one or more operations on the cropped 2D image of the face of the patient.