US 12,347,213 B2
Method and apparatus for obtaining feature of duct tissue based on computer vision, and intelligent microscope
Cheng Jiang, Guangdong (CN); Jiarui Sun, Guangdong (CN); Liang Wang, Guangdong (CN); Rongbo Shen, Guangdong (CN); and Jianhua Yao, Guangdong (CN)
Assigned to Tencent Technology (Shenzhen) Company Limited, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Guangdong (CN)
Filed on Mar. 2, 2022, as Appl. No. 17/685,099.
Application 17/685,099 is a continuation of application No. PCT/CN2020/126102, filed on Nov. 3, 2020.
Claims priority of application No. 202010108133.6 (CN), filed on Feb. 21, 2020.
Prior Publication US 2022/0319208 A1, Oct. 6, 2022
Int. Cl. G06T 7/11 (2017.01); A61B 90/20 (2016.01); G02B 21/36 (2006.01); G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/155 (2017.01); G06V 10/22 (2022.01); G06V 10/44 (2022.01); G06V 20/69 (2022.01)
CPC G06V 20/695 (2022.01) [A61B 90/20 (2016.02); G02B 21/365 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/155 (2017.01); G06V 10/22 (2022.01); G06V 10/44 (2022.01); G06V 20/698 (2022.01); A61B 2576/02 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30242 (2013.01); G06V 2201/03 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A method for obtaining a feature of duct tissue based on computer vision, the method comprising:
obtaining an image that includes the duct tissue;
determining at least two feature obtaining regions that are adapted to duct morphology of the duct tissue in an image region corresponding to the duct tissue in the image;
obtaining cell features of cells of the duct tissue in the at least two feature obtaining regions, respectively;
identifying image sub-regions with brightness greater than a brightness threshold as sieve-like pore regions in the image region corresponding to the duct tissue;
obtaining a feature of sieve-like pores in the duct tissue based on the image sub-regions of the image region corresponding to the duct tissue in the image;
obtaining the feature of the duct tissue based on the feature of the sieve-like pores and the cell features in the at least two feature obtaining regions;
selecting, from a plurality of duct tissue classifiers associated with different division methods of the image region, a duct tissue classifier based on which division method of the different division methods is used for determining the at least two feature obtaining regions; and
classifying the duct tissue using the selected duct tissue classifier based on the obtained feature of the duct tissue.