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Cell Image Recognition Method and Device Based on Optical Means

A cell and means technology, applied in the field of cell image recognition methods and devices based on optical means, can solve the problems of large influence, inaccuracy, and unstable cell image classification results.

Active Publication Date: 2022-08-09
THE FIRST HOSPITAL OF HEBEI MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the setting method of prior conditions, which is determined by human subjectivity, the classification index of cell image is greatly affected by human subjective judgment, which often leads to unstable and inaccurate classification results of cell image, thus leading to the accuracy of cell image recognition. low degree

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  • Cell Image Recognition Method and Device Based on Optical Means
  • Cell Image Recognition Method and Device Based on Optical Means
  • Cell Image Recognition Method and Device Based on Optical Means

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Embodiment Construction

[0052] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes the specific implementation, structure, features and effects of the technical solutions proposed by the present invention in detail with reference to the accompanying drawings and preferred embodiments. described as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0053] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0054] This embodiment provides a cell image recognition method based on optical means, and the method includes the ...

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Abstract

The invention relates to the technical field of material testing and analysis, in particular to a cell image recognition method and device based on optical means. The grayscale normalization of the skeleton image is performed to obtain the grayscale normalized image to be tested; the pixels that meet the screening conditions are selected from the grayscale normalized image to be tested; The intensity enhancement coefficient and the enhanced normalized gray value are used to determine the enhanced image and enhanced feature vector corresponding to the gray-scale normalized image to be tested; the category label is generated according to the enhanced image, enhanced feature vector and the pre-trained cell recognition neural network. As a result, to realize the recognition of the fluorescent skeleton image of the cell to be tested. The invention utilizes visible light means for material analysis and testing, and improves the accuracy of cell image recognition.

Description

technical field [0001] The invention relates to the technical field of material testing and analysis, in particular to a cell image recognition method and device based on optical means. Background technique [0002] With the development of modern medicine, the identification of cells is helpful for the analysis of histopathology, and the identification and analysis of cells has become an important means and part of the detection of medicine. Therefore, it is crucial to perform cell identification on cell images. At present, when performing cell image recognition, the usual method is as follows: first, the edge of the cell image is segmented to obtain the cytoskeleton structure. Next, the classification index is determined through the artificially set prior conditions. Finally, the classification of the cell images is achieved according to the classification index. The cell image may be an image of a single cell to be detected labeled with fluorescently labeled phalloidin....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/69G06V10/774G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 王宪云刘刚郑明奇李全海王乐
Owner THE FIRST HOSPITAL OF HEBEI MEDICAL UNIV
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