US 12,223,645 B2
Method and device for identifying abnormal cell in to-be-detected sample, and storage medium
De Cai, Shenzhen (CN); Hu Ye, Shenzhen (CN); Zhaoxuan Ma, Shenzhen (CN); and Xiao Han, Shenzhen (CN)
Assigned to Tencent Technology (Shenzhen) Company Limited, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed on Mar. 23, 2022, as Appl. No. 17/701,910.
Application 17/701,910 is a continuation of application No. PCT/CN2021/085885, filed on Apr. 8, 2021.
Claims priority of application No. 202010386000.5 (CN), filed on May 9, 2020.
Prior Publication US 2022/0215548 A1, Jul. 7, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/80 (2022.01)
CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06V 10/809 (2022.01); G06T 2207/30024 (2013.01); G06T 2207/30242 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for identifying an abnormal cell in a to-be-detected sample, the method comprising:
obtaining, by a device comprising a memory storing instructions and a processor in communication with the memory, multi-layer images of a to-be-detected sample, the to-be-detected sample comprising a single cell and a cell cluster;
obtaining, by the device, multi-layer image blocks of the single cell and multi-layer image blocks of the cell cluster according to the multi-layer images;
obtaining, by the device, a first identification result by a first image identification network according to the multi-layer image blocks of the single cell;
obtaining, by the device, a second identification result by a second image identification network according to the multi-layer image blocks of the cell cluster, including:
selecting at least one layer of image blocks from the multi-layer image blocks of the cell cluster, and inputting the at least one layer of image blocks into a first part of the second image identification network to obtain a second single-layer identification result corresponding to the multi-layer image blocks of the cell cluster; and
inputting the multi-layer image blocks of the cell cluster into a second part of the second image identification network to obtain a second multi-layer identification result corresponding to the multi-layer image blocks of the cell cluster; and
determining, by the device, whether an abnormal cell exists in the to-be-detected sample according to the first identification result and the second identification result.