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 |
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.
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