US 11,887,300 B2
Method and apparatus for classifying a brain anomaly based on a 3D MRI image
Pershung Louis Lee, Beijing (CN); Wei Sheng Chan, Beijing (CN); Jiahao Ji, Beijing (CN); and Zhenzhou Wu, Beijing (CN)
Assigned to BEIJING ANDE YIZHI TECHNOLOGY CO., LTD., Beijing (CN)
Appl. No. 17/268,221
Filed by BEIJING ANDE YIZHI TECHNOLOGY CO., LTD., Beijing (CN)
PCT Filed Nov. 15, 2018, PCT No. PCT/CN2018/115535
§ 371(c)(1), (2) Date Feb. 12, 2021,
PCT Pub. No. WO2020/034469, PCT Pub. Date Feb. 20, 2020.
Claims priority of application No. 201810918731.2 (CN), filed on Aug. 13, 2018.
Prior Publication US 2021/0319555 A1, Oct. 14, 2021
Int. Cl. G06T 7/12 (2017.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01)
CPC G06T 7/0012 (2013.01) [G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A method for classifying a brain anomaly based on a 3D MRI image, comprising:
receiving a to-be-processed 3D MRI image, performing a convolution operation on an imaging sequence corresponding to the 3D MRI image based on a first neural network algorithm to obtain segment masks; and
performing a classification operation on the imaging sequence corresponding to the 3D MRI image based on a second neural network algorithm and the segment masks to obtain a classification result of the brain anomaly.