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ANA fluorescent sheet automatic identification method based on machine learning and deep learning

A deep learning and machine learning technology, applied in machine learning, neural learning methods, character and pattern recognition, etc., can solve the problems of easy misjudgment, high personnel requirements, etc., and achieve a wide range of equipment, high precision, and fast prediction speed Effect

Active Publication Date: 2019-06-07
SICHUAN UNIV
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Problems solved by technology

[0004] In view of the above-mentioned research problems, the purpose of the present invention is to provide an automatic identification method of ANA fluorescent sheets based on machine learning and deep learning, which solves the problem of manual judgment of ANA fluorescent sheets in the prior art, which requires high personnel and is prone to misjudgment. question

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  • ANA fluorescent sheet automatic identification method based on machine learning and deep learning
  • ANA fluorescent sheet automatic identification method based on machine learning and deep learning
  • ANA fluorescent sheet automatic identification method based on machine learning and deep learning

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0063]Based on a stable and efficient machine learning model and a deep learning model, the present invention uses machine learning technology to predict the titer of ANA fluorescent sheets (the titer is divided into negative, 1:100, 1:320, 1:1000, 1:3200, 1: 10000, etc.), using deep learning technology to predict the karyotype of ANA fluorescent film (ANA karyotypes include: homogeneous type, spot type, nucleolar type, nuclear membrane type, centromere type, nuclear point type, cytoplasmic type, etc. Thirty types, and a single positive ANA fluorescent sheet may have one or more karyotypes). This method predicts quickly and stably, and issues the same prediction results for the same picture. details as follows:

[0064] A method for automatic recognition of ANA fluorescent sheets based on machine learning and deep learning, the steps are as f...

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Abstract

The invention discloses an ANA fluorescent sheet automatic identification method based on machine learning and deep learning, belongs to the technical field of machine learning and deep learning, andsolves the problems that the requirement on personnel is high and misjudgment is easy to occur when an ANA fluorescent sheet is judged manually in the prior art. The method includes based on a machinelearning model, obtaining a titer model through data set calculation; based on the deep learning model, obtaining a kernel model through data set calculation; reading a to-be-identified ANA fluorescent sheet, namely a to-be-identified picture, and performing feature extraction on the to-be-identified picture to obtain a plurality of extracted feature values; inputting the plurality of features into a titer model to obtain predicted titer; inputting the to-be-identified picture into the kernel model to obtain a predicted kernel; and obtaining an identification result according to the predictedtiter and the predicted karyotype. The method is used for identifying the titer and the karyotype of the ANA fluorescent sheet.

Description

technical field [0001] An automatic identification method for ANA fluorescent sheets based on machine learning and deep learning, which is used to identify the titer and karyotype of ANA fluorescent sheets, belongs to the technical field of machine learning and deep learning. Background technique [0002] Anti-nuclear antibody (anti-nuclear antibody, ANA) is a general term for antibodies against all nucleic acids and nucleoproteins, including the nucleus, cytoplasm, cytoskeleton, and certain components produced in the cell division cycle. ANA can be used as a serological marker. At present, indirect immunofluorescence (IIF) of biological slices is recognized as the gold standard method for detecting ANA at home and abroad, which has the characteristics of high sensitivity and semi-quantitative. [0003] Although IIF has irreplaceable advantages in detecting ANA, its automation and standardization lag behind other immunological techniques. At present, the traditional ANA fl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08G06N20/00G06T7/44G06T7/45
Inventor 黄琪魏骁勇武永康杨震群盛爱林钟奇林
Owner SICHUAN UNIV
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