Cell fluorescence image discrimination method and system

A fluorescent image and discrimination method technology, applied in the field of intelligent learning, can solve the problems of inability to obtain features and low accuracy, and achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2022-02-25
上海申挚医疗科技有限公司
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Problems solved by technology

This method cannot obtain all the features of the entire fluorescent cell, resulting in low accuracy

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  • Cell fluorescence image discrimination method and system
  • Cell fluorescence image discrimination method and system

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Embodiment Construction

[0042] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0043] In order to further understand the present invention, the preferred embodiments of the present invention are described below in conjunction with examples, but it should be understood that these descriptions are only to further illustrate the features and advantages of the present invention, rather than limiting the claims of the present invention.

[0044] The description in this part is only for several typical embodiments, and the present invention is not limited to the scope of the description of the embodiments. The mutual replacement of the same or similar prior art means and some technical features in the embodiments is also within the scope of the description and protection of the present invention.

[0045] The description of the steps in each embodiment in the specification is only for convenience of description, and the imple...

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Abstract

The invention discloses a cell fluorescence image discrimination method and system. The cell fluorescence image discrimination system comprises a format conversion module, an image binarization module, a fluorescence pattern position collection module, a cell fluorescence image cutting module, a cell classification module, a data set classification module, a sample equalization module, a data preprocessing module, a mathematical model construction module and a mathematical model training module. And a mathematical model test module and a detection module. According to the cell fluorescence image discrimination method and system provided by the invention, the efficiency and accuracy of fluorescence cell recognition can be improved. In a use scene of the invention, cell segmentation is carried out by using a fluorescence image in an HSV format, then positive and negative detection is carried out on segmented cells by using a deep learning network model, and finally positive cell quantity statistics is carried out, so that classification and recognition of the fluorescence staining image are realized.

Description

technical field [0001] The invention belongs to the technical field of intelligent learning, and relates to a cell recognition system, in particular to a cell fluorescence image discrimination method and system. Background technique [0002] Observing cell fluorescent slides under a microscope usually takes more than an hour through manual identification, and it is easy to cause visual fatigue; in addition, due to the subjective factors of various experts, the same slide may have different reviews result. [0003] Most of the existing artificial intelligence analysis methods in the industry simply perform threshold segmentation, then perform feature extraction, feature dimensionality reduction, and finally perform machine learning model classification. This method cannot obtain all the features of the entire fluorescent cell, resulting in low accuracy. [0004] In view of this, there is an urgent need to design a new cell identification method to overcome at least some of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/136G06N3/08G06T2207/10024G06T2207/10064G06T2207/20132G06T2207/20081G06T2207/20084G06T2207/30242G06N3/047G06N3/045G06F18/2431
Inventor 梅园
Owner 上海申挚医疗科技有限公司
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