| CPC G06V 20/693 (2022.01) [G06T 7/0012 (2013.01); G06V 20/698 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01)] | 7 Claims |
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1. A method for determining characteristic cells based on image recognition, scanning a stained tissue solution on a microslide to recognize the characteristic cells of the stained tissue solution, and the method comprising:
by a scanning device, capturing a full image of the microslide, wherein the scanning device comprises a microscope and camera;
by a host, receiving the full image and selecting a plurality of images that comprise stained blocks from the full image with an image processing algorithm;
by the host, sequentially performing image recognition on the plurality of images to recognize a plurality of stained cells of the plurality of images, and determining whether the plurality of stained cells comprise the characteristic cells with an artificial intelligence (AI) model; and
selecting a plurality of interested images from the plurality of images that comprise the characteristic cells, transforming a coordinate system of the plurality of interested images into an original coordinate system of the full image, and employing the scanning device to capture the plurality of interested images along a Z axis of the original coordinate system of the full image, thereby obtaining and outputting a plurality of sets of pictures,
wherein when the AI model determines that the plurality of stained cells comprise the characteristic cells, the characteristic cells are scored and the plurality of interested images are selected according to scores of the characteristic cells, and
wherein the characteristic cells are scored according to sizes and integrity of the characteristic cells.
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