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Cancer cell detection method and system based on deep learning, and medium

A deep learning and detection method technology, applied in the field of cancer cell detection, can solve the problems of difficulty in balancing speed and accuracy, large storage consumption, and too many model weight parameters

Pending Publication Date: 2021-05-14
ZHUHAI COLLEGE OF JILIN UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

The current target detection network has problems such as too many model weight parameters, large storage consumption, and difficulty in balancing speed and accuracy in practical applications.

Method used

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  • Cancer cell detection method and system based on deep learning, and medium
  • Cancer cell detection method and system based on deep learning, and medium
  • Cancer cell detection method and system based on deep learning, and medium

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Embodiment Construction

[0027] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0028] In the description of the present invention, the meaning of several means one or more, and the meaning of multiple means two or more than two. Greater than, less than, exceeding, etc. are understood as not including the original number, and above, below, within, etc. are understood as including the original number . If the description of the first and second is only for the purpose of distinguishing the technical features, it cannot be understood as indicating or implying the relative importance or implicitly indicating the number...

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Abstract

The invention discloses a cancer cell detection method and system based on deep learning, and a medium. The method comprises the steps: data preprocessing: adding data labels of categories and positions to non-cancer cell images and cancer cell images, and obtaining a data set; training the data set based on a Yo lov5 target detection network to obtain a detection model; and detecting an input cancer cell image based on the detection model, and outputting a detection result. The method at least has the following beneficial effects that the advantages of high convergence speed and high model customizability of Yo lov5 on a data set are fully utilized, and the excellent effect of cancer cell image small target detection is realized.

Description

technical field [0001] The present invention relates to a method for detecting cancer cells, in particular to a method, system and medium for detecting cancer cells based on deep learning. Background technique [0002] At present, the theoretical research of artificial intelligence technology is becoming more and more mature. With the popularization of artificial intelligence technology in life, study, and work, the application of artificial intelligence technology in medical diagnosis and medical services is an inevitable trend in the development of medical technology in the future. The realization of cancer cell target detection system based on deep learning is the core link of artificial intelligence + medical application in cancer diagnosis. [0003] Cancer cell detection is to identify whether there are cancer cells in complex cell images. For images with cancer cells, the specific position information and size of cancer cells in the image are given and accurately marke...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06N3/08G06N3/04
CPCG06T7/0012G06T7/13G06N3/08G06T2207/20081G06T2207/30096G06N3/045
Inventor 杨晓玲王振奇袁浩然
Owner ZHUHAI COLLEGE OF JILIN UNIV
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