Automatic blood analysis method and system, hematology analyzer and storage medium

A technology for automatic blood analysis and classification results, which is applied in the field of image recognition and can solve the problem of low blood cell count accuracy.

Inactive Publication Date: 2020-02-25
湖南伊鸿健康科技有限公司
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Problems solved by technology

[0003] The main purpose of the present invention is to propose an automatic blood analysis method, system, blood cell analyzer and computer-readable storage medium, aiming to solve the problem of blood cells counted by cell identification and statistical methods based on best-focus microscopic images in the prior art. Quantitative accuracy problem

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  • Automatic blood analysis method and system, hematology analyzer and storage medium
  • Automatic blood analysis method and system, hematology analyzer and storage medium
  • Automatic blood analysis method and system, hematology analyzer and storage medium

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Embodiment Construction

[0055] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] Please refer to figure 1 , figure 1 It is a schematic diagram of the hardware structure of the blood cell analyzer provided in each embodiment of the present invention. The blood cell analyzer includes a communication module 01, a memory 02, a processor 03 and other components. Those skilled in the art can understand that, figure 1 The hematology analyzer shown in may also include more or fewer components than shown, or combine certain components, or have a different arrangement of components. Wherein, the processor 03 is connected to the memory 02 and the communication module 01 respectively, the memory 02 stores a computer program, and the computer program is executed by the processor 03 at the same time.

[0057] The communication module 01 can be connected with external devices through the network. The...

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Abstract

The invention discloses an automatic blood analysis method and system, a blood cell analyzer and a storage medium, and the method comprises the steps: respectively obtaining microscopic images of a to-be-detected sample when the distances between an objective table and an objective lens are h0-d, h0 and h0 + d, wherein the distance h0 between the objective table and the objective lens is the focusing position of the to-be-detected sample; inputting the microscopic images of the to-be-detected samples corresponding to the distances h0-d, h0 and h0 + d into a trained feature fusion network for feature fusion, and outputting a fusion feature map; inputting the fusion feature map into a trained RPN network and a trained FCN network for frame regression, classification and masking, and outputting an instance segmentation map including a classification result and a mask; and counting the number of to-be-detected targets in the to-be-detected sample according to the classification result andthe mask. According to the invention, the problem of low accuracy of the number of blood cells counted by the cell identification and statistics method based on the optimal focusing microscopic imageis solved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to an automatic blood analysis method, system, blood cell analyzer and computer-readable storage medium. Background technique [0002] At present, to count the blood cells in the blood sample, the inspectors count the blood cells in the blood sample based on the blood smear, mainly by placing the blood smear under the microscope, and then using the traditional machine vision method to analyze the blood smear under the microscope Cell identification and statistics were performed on the best focused microscope images observed below to obtain the number of blood cells in the final blood smear. However, since all the blood cells in the blood smear are not at the same level, and the position of the blood cells is high or low, some blood cells are not in focus in the best focus microscopic image, and the definition in the image is low. As a result, in the use of machine vision, it is eas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/695G06V20/698G06V10/25G06V2201/07G06N3/045G06F18/253
Inventor 郑陆一胡双刘蕾蔡韬
Owner 湖南伊鸿健康科技有限公司
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