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Microscopic image-based cell segmentation method, device, equipment and storage medium

A microscopic image and cell technology, applied in the field of image processing, can solve the problem of inaccurate connected areas and achieve the effect of improving accuracy

Active Publication Date: 2022-08-05
腾讯医疗健康(深圳)有限公司
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Problems solved by technology

[0004] However, the connected area of ​​each cell obtained by performing morphological expansion based on the center point of the cell in the above-mentioned related art is not accurate enough.

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  • Microscopic image-based cell segmentation method, device, equipment and storage medium
  • Microscopic image-based cell segmentation method, device, equipment and storage medium

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Embodiment Construction

[0035] In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0036] Artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-m...

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Abstract

The embodiments of the present application disclose a method, device, device and storage medium for cell segmentation based on microscopic images, which belong to the technical field of image processing in artificial intelligence. The method includes: acquiring a microscopic image of the stained cell sample group under a microscope field of view; performing center point identification processing on the microscopic image to obtain a center point image, where the center point image includes the center of each cell in the cell sample group point; segment the microscopic image based on the image of the center point to obtain the initial segmented image of the nucleus, and the initial segmented image of the nucleus includes the initial nucleus area of ​​each cell; based on the image of the center point and the initial segmented image of the nucleus, the final segmented image of the nucleus and the cell nucleus are obtained Expanded image; based on the final segmented image of the cell and the expanded image of the cell, a segmented image of the cell is obtained, and the segmented image of the cell includes the cell membrane area of ​​each cell. The embodiments of the present application improve the accuracy of the final determination of the connected regions of each cell.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing in artificial intelligence, and in particular, to a method, device, device, and storage medium for cell segmentation based on microscopic images. Background technique [0002] IHC (Immunohistochemistry, immunohistochemistry) is a method to assist pathological diagnosis, which stains cells in a cell sample population through a chemical staining reaction to highlight positive cells in the cell sample population under a microscope. [0003] In pathological diagnosis based on IHC, the number or proportion of positive cells in a cell sample population is an important basis for pathological diagnosis. Therefore, it is extremely important to accurately distinguish negative cells from positive cells. Differentiating negative cells and positive cells needs to be determined first. Connected regions of cells. In the related art, the connected area of ​​cells is determine...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/00G06V20/69
CPCG06T7/11G06T7/0012G06T2207/10061G06T2207/20081G06T2207/20152G06T2207/30024G06V20/698
Inventor 田宽颜克洲张军王亮
Owner 腾讯医疗健康(深圳)有限公司
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