US 12,482,107 B2
Systems and methods for feature information determination
Xiang Chen, Shanghai (CN); Yang Li, Shanghai (CN); and Saisai Su, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on Dec. 28, 2022, as Appl. No. 18/147,688.
Claims priority of application No. 202111640729.1 (CN), filed on Dec. 29, 2021; and application No. 202210569703.0 (CN), filed on May 24, 2022.
Prior Publication US 2023/0206454 A1, Jun. 29, 2023
Int. Cl. G06T 7/11 (2017.01); G06T 7/00 (2017.01); G06T 7/155 (2017.01)
CPC G06T 7/11 (2017.01) [G06T 7/0012 (2013.01); G06T 7/155 (2017.01)] 20 Claims
OG exemplary drawing
 
1. A method for feature information determination, which is implemented on a computing device including at least one processor and at least one storage device, the method comprising:
obtaining at least one image including a subject, the subject including liver tissue, the at least one image including a first image;
determining a preliminary segmentation result including a preliminary region representative of the liver tissue by inputting the first image into a first segmentation model;
determining a target segmentation result by inputting the preliminary segmentation result into a second segmentation model, the target segmentation result including an effective liver region of the liver tissue, the effective liver region being a region of the liver tissue that excludes a liver lesion region;
determining a target image based on the target segmentation result;
determining at least one target region in the target image; and
analyzing the liver tissue of the subject by determining feature information of the at least one target region based on at least one parameter of the at least one target region.