Chromosome recognition method and device based on deep learning, and computer equipment

A deep learning and chromosome technology, applied in the field of chromosome recognition, can solve the problem of low accuracy of chromosome recognition, achieve the effect of reducing manual participation and improving accuracy

Pending Publication Date: 2021-02-05
SHENZHEN UNIV
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Problems solved by technology

[0003] However, the existing chromosome identification generally uses manual microscopic examination to identify chromosomes. Image processing techniques, namely threshold segmentation and edge extraction, are used to identify chro...

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  • Chromosome recognition method and device based on deep learning, and computer equipment
  • Chromosome recognition method and device based on deep learning, and computer equipment
  • Chromosome recognition method and device based on deep learning, and computer equipment

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Embodiment Construction

[0059] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0060] The chromosome identification method based on deep learning provided by this application can be applied to such as figure 1shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The terminal 102 acquires the image of the chromosome to be identified from the server 104, inputs the image of the chromosome to be identified into the trained neural network model, extracts the features of the chromosome morphology image in the image of the chromosome to be identified, and obtains a feature map; Convolution p...

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Abstract

The invention relates to a chromosome recognition method and device based on deep learning, computer equipment and a storage medium. The method comprises the following steps of acquiring a chromosomeimage to be identified; inputting a chromosome image to be recognized into the trained neural network model, and extracting chromosome morphological image features in the chromosome image to be recognized to obtain a feature map; performing multi-scale convolution processing on the feature map to obtain feature maps of different scales; classifying the feature maps of different scales to obtain the offset of chromosomes in the to-be-identified chromosome image; and performing regression processing on the offset to obtain the position of the chromosome. By adopting the method, chromosome recognition accuracy can be improved.

Description

technical field [0001] The present application relates to the technical field of chromosome identification, in particular to a method, device and computer equipment for chromosome identification based on deep learning. Background technique [0002] With the development of computer technology, artificial intelligence and deep learning have become technologies that all walks of life need to learn and combine. Chromosome identification provides valuable information for the diagnosis of human health and diseases. According to the results of chromosome identification, chromosomal diseases can be diagnosed . [0003] However, the existing chromosome identification generally uses manual microscopic examination to identify chromosomes. Image processing techniques, namely threshold segmentation and edge extraction, are used to identify chromosomes. Only part of the chromosome information will be retained, and other chromosomes that are similar to the real chromosome shape Impurities...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10056G06T2207/20016G06T2207/20081G06T2207/20084G06T2207/30004G06V20/69G06V10/462G06N3/045G06F18/241
Inventor 管惠敏
Owner SHENZHEN UNIV
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