Mycobacterium tuberculosis detection model training method and device, equipment and storage medium

A technology of Mycobacterium tuberculosis and detection model, applied in the field of image analysis, can solve the problems of time-consuming, laborious, high-cost, and high-difficulty in operation, and achieve the effect of saving collection cost, improving detection robustness, and efficient detection.

Pending Publication Date: 2022-04-22
PEKING UNIV FIRST HOSPITAL +1
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Problems solved by technology

[0002] Mycobacterium tuberculosis is about 4 microns in length and less than 1 micron in diameter, so it is extremely time-consuming and laborious to find them under a microscope
[0003] However, although the detection method of Mycobacterium tuberculosis based on molecular biology techniques such as real-time fluorescent quantitative polynucleotide chain reaction or RNAscope has high detection sensitivity, there are problems such as time-consuming, high cost, and difficult operation, so it cannot be realized. Efficient detection of Mycobacterium tuberculosis

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  • Mycobacterium tuberculosis detection model training method and device, equipment and storage medium
  • Mycobacterium tuberculosis detection model training method and device, equipment and storage medium
  • Mycobacterium tuberculosis detection model training method and device, equipment and storage medium

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Embodiment approach

[0093] That is to say, under such an implementation mode, the embodiment of the present invention will detect samples in Mycobacterium tuberculosis.

[0094] It is not difficult to understand that in such an implementation manner, a batch size (batch size), that is, a third preset number of samples will be repeatedly extracted from the training set to train the preset target detection network.

[0095] It should be noted that the backbone sub-network in the embodiment of the present invention is used to perform feature extraction on each input sample to obtain the first feature map of each sample.

[0096]Optionally, in a feasible manner, the backbone sub-network includes multiple bottleneck (Bottleneck) layers of the same structure connected in sequence. It should be understood that the bottleneck layer is often set in a deep network to reduce the number of parameters required in the training process and speed up network inference. It should also be understood that as the n...

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Abstract

The embodiment of the invention discloses a mycobacterium tuberculosis detection model training method and device, equipment and a storage medium. The method comprises the following steps: acquiring a first preset number of first images and annotation information of each first image, namely the position of mycobacterium tuberculosis in the first image; then, cutting out a second preset number of second images with different sizes from each first image, namely taking part of the first images as the second images, and zooming all the second images containing mycobacterium tuberculosis into third images with the same size to simulate the shooting effects of different shooting devices; then, constructing a sample data set for training the network by using all the third images; and finally, training a preset target detection network according to the sample data set to obtain a mycobacterium tuberculosis detection model. Therefore, according to the embodiment of the invention, the sample input into the preset target detection network can simulate different shooting equipment to shoot the image containing the mycobacterium tuberculosis, so that the detection robustness of the preset target detection network is improved.

Description

technical field [0001] The invention relates to the field of image analysis, in particular to a training method, device, equipment and storage medium of a Mycobacterium tuberculosis detection model. Background technique [0002] Mycobacterium tuberculosis is about 4 microns in length and less than 1 micron in diameter, so it takes a lot of time and effort to find them under a microscope. [0003] However, although the detection method of Mycobacterium tuberculosis based on molecular biology techniques such as real-time fluorescent quantitative polynucleotide chain reaction or RNAscope has high detection sensitivity, it has problems such as time-consuming, high cost, and difficult operation, so it cannot be realized. Efficient detection of Mycobacterium tuberculosis. Contents of the invention [0004] In view of this, the present invention provides a detection method, device, computer equipment and readable storage medium of Mycobacterium tuberculosis, which are used to im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06T3/40G06T7/10G06V10/774
CPCG06T7/0012G06T7/10G06T3/40G06T2207/10004G06F18/214
Inventor 张凯闻熊焰李挺
Owner PEKING UNIV FIRST HOSPITAL
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