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Medical image automatic reading auxiliary analysis device and method based on deep learning

A technology of medical imaging and deep learning, applied in the field of medical imaging teaching, can solve the problems of poor teaching effect, inconvenient comparison of data, and small amount of comparison, so as to achieve the effect of fast and deep learning and improve learning efficiency

Inactive Publication Date: 2022-02-01
WENZHOU UNIVERSITY
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  • Application Information

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Problems solved by technology

[0003] When doing interns or studying medical imaging, the existing methods are to place individual images one by one on the viewing light for viewing, and then compare the electronic images on the computer with the existing database, and then pass the guidance The teacher’s experience and a few existing cases are used to teach students. This method takes too long to learn from a large number of medical images, and the manual operation is cumbersome. The amount of comparison is small when comparing data. , it is not easy to come up with the best comparison data, which makes the teaching effect worse

Method used

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  • Medical image automatic reading auxiliary analysis device and method based on deep learning
  • Medical image automatic reading auxiliary analysis device and method based on deep learning
  • Medical image automatic reading auxiliary analysis device and method based on deep learning

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Embodiment approach

[0050] Another technical solution proposed by the present invention: providing an implementation method of an automatic medical image reading auxiliary analysis device based on deep learning, including the following steps:

[0051] Step 1: The servo motor 42 starts to drive the connecting shaft gear 412 to rotate, and then drives the gear belt 413 to rotate outside the connecting shaft gear 412 and the driven shaft gear 414, and then drives the lower push piece 415 to move along the perimeter track of the gear belt 413 , when the push piece 415 moves to the top of the image piece 3, the downward driving force pushes the image piece 3 to move downward, and when the push piece 415 moves to the lower right corner of the gear belt 413, it gradually separates from the image piece 3, at this time The upper end of the image sheet 3 is positioned at the top guide wheel 26 upper end;

[0052] Step 2: When the image sheet 3 is pushed downward by the single-piece conveying part 4, the do...

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Abstract

The invention discloses a medical image automatic reading auxiliary analysis device and method based on deep learning, relates to the technical field of medical image teaching, and aims to solve the problems that the consumed time is too long, manual operation is troublesome, optimal comparison data is inconvenient to take out and the teaching effect is poor during medical image film learning. One end of an image film conveying part is provided with a single film conveying part, the output end of the single film conveying part is in meshed connection with a film feeding part, one end of the film feeding part is located on the inner side of the image film conveying part, and the lower end of the output end of the image film conveying part is provided with an image film scanning part. Therefore, rapid and automatic film reading of the student can be realized, the optimal contrast image can be extracted by using the large database, rapid deep learning of the student is achieved, batch learning can be carried out in a short time, and the learning efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of medical image teaching, in particular to an automatic medical image reading auxiliary analysis device and method based on deep learning. Background technique [0002] Medical imaging refers to the technology and processing process of obtaining internal tissue images of the human body or a certain part of the human body in a non-invasive manner for medical treatment or medical research. It includes the following two relatively independent research directions: medical imaging system and medical image processing. The former refers to the process of image formation, including the research on imaging mechanism, imaging equipment, imaging system analysis and other issues; the latter refers to the further processing of the obtained image, the purpose of which is to make the original image that is not clear enough Restoration, or to highlight certain feature information in the image, or to classify the image as ...

Claims

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Application Information

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IPC IPC(8): G02B27/02G09B23/28
CPCG02B27/022G02B27/023G02B27/028G09B23/286
Inventor 周淏张相锴叶昕宇钱乐旦陈文海
Owner WENZHOU UNIVERSITY
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