US 12,322,103 B2
Network architecture for 3D image processing
Asher Gringauz, Nesher (IL); and Liran Goshen, Pardes-Hanna (IL)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 18/721,224
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Dec. 19, 2022, PCT No. PCT/EP2022/086725
§ 371(c)(1), (2) Date Jun. 18, 2024,
PCT Pub. No. WO2023/117953, PCT Pub. Date Jun. 29, 2023.
Claims priority of application No. 21216302 (EP), filed on Dec. 21, 2021.
Prior Publication US 2024/0420325 A1, Dec. 19, 2024
Int. Cl. G06T 7/00 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 2200/04 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A computer-implemented method for processing 3D image data using a neural network architecture, the computer-implemented method comprising:
obtaining input 3D image data;
performing a modified 3D image data generation process comprising:
for each of a plurality of 3D sub-volumes of the input 3D image data, processing the 3D sub-volume using a first neural network to produce first modified 3D image data; and
for each 2D image slice along a first dimension of the input 3D image data, processing the 2D image slice using a second neural network to produce second modified 3D image data; and
processing the input 3D image data, together with at least the first modified 3D image data and the second modified 3D image data, using an outputting neural network to produce an output of the neural network architecture.