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Method and device for identifying electron microscope virus based on small sample

A small-sample, virus-based technology, applied in the field of image recognition, can solve problems such as over-fitting of deep neural networks

Pending Publication Date: 2022-03-01
HAINAN UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, in the absence of enough training samples, deep neural networks are prone to problems such as overfitting

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  • Method and device for identifying electron microscope virus based on small sample
  • Method and device for identifying electron microscope virus based on small sample
  • Method and device for identifying electron microscope virus based on small sample

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029]It should be noted that the terms "include" and "have" and any variations thereof in the embodiments of the present invention and drawings are intended to cover non-exclusive inclusion. For example, a process, method, device, product or equipment comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or optionally further includes For other steps or units inherent in thes...

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Abstract

The invention discloses an electron microscope virus identification method and device based on a small sample, and the method comprises the steps: carrying out the preliminary training of a preset initial model through the data of a preset existing electron microscope virus large sample, and generating an identification model; performing deep training on the recognition model by using preset target electron microscope virus small sample data; and based on the identification model after deep training, generating an identification result of the query data set of the target electron microscope virus. By applying the method, high-accuracy identification of the virus image with a small number of samples can be realized, and the problems of small data volume and lack of annotation in the field of electron microscope virus identification are solved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and device for identifying electron microscope viruses based on small samples. Background technique [0002] Since the electron microscope photo of poxvirus was first published in 1938, the electron microscope has the characteristics of open field of view, fast and high resolution, and has been widely used in the research of virus morphology analysis and diagnosis. Scientists have successively identified many medically important viruses such as enterovirus 71, Norwalk virus, hepatitis B virus, rotavirus, Marburg virus, SARS coronavirus, influenza A virus and new coronavirus through electron microscopy. However, due to the lack of fast, accurate and high-throughput electron microscope sample screening methods, the classic virus identification method mainly relies on experts to find virus particles in the sample and judge its type through the morphological charac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/69G06V10/774G06V10/80G06V10/82G06K9/62G06N3/04
CPCG06N3/048G06F18/253G06F18/214
Inventor 肖驰夏晓宇黄琦淋徐顺浩宋敬东
Owner HAINAN UNIVERSITY