Microwave breast tumor classification method based on deep learning

A breast tumor and classification method technology, applied in neural learning methods, informatics, medical informatics, etc., can solve the problems of traditional methods such as large amount of calculation and inability to perform real-time imaging, and achieve the effect of small amount of calculation

Pending Publication Date: 2022-03-11
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0004] The present invention overcomes the deficiencies in the prior art, and the technical problems to be solved are: based on a fully simulated training network, difficult problems may be encountered in practical applications, and the traditional method has a large amount of calculation and cannot be imaged in real time. technical problem

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  • Microwave breast tumor classification method based on deep learning
  • Microwave breast tumor classification method based on deep learning
  • Microwave breast tumor classification method based on deep learning

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[0019] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described are only used to explain the present invention, but not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative efforts shall fall within the protection scope of the present invention.

[0020] Refer to attached figure 1 , a deep learning-based microwave breast tumor classification method provided by the present invention, comprising:

[0021] Create breast tumor cases by placing tumors of different sizes at random locations in healthy breasts, and create a synthetic dataset through finite-difference time-domain simulations of the created breast tumor cases, constituting the sour...

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Abstract

The invention discloses a microwave breast tumor classification method based on deep learning, which is used for solving the problems of breast tumor positioning and soft classification redesignation by constructing a domain adversarial neural network, and redefining a loss function. Compared with a real-value multilayer perceptron, the domain adversarial neural network only uses data of 250 target domains to enable the neural network to adapt to a new domain with remarkably different data distribution, and a reasonable result is obtained for unknown data in a laboratory experiment.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a microwave breast tumor classification method based on deep learning. Background technique [0002] In breast tumor detection, determining tumor size and location is critical for preventive diagnosis. Therefore, a fast and accurate method for tumor localization and size estimation is very important. While magnetic resonance imaging (MRI) and computed tomography (CT) serve contemporary medical needs, they are expensive, bulky, and heavy, making them unsuitable for early diagnosis of breast tumors. [0003] As a supplement to existing imaging methods, electromagnetic imaging technology has great development prospects. Electromagnetic imaging uses an antenna array surrounding the breast to measure transmission and reflection coefficients, and these complex-valued parameters can be processed using various techniques, such as tomography and radar-based techniques, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06N3/08G06N3/04G06K9/62G06V10/774G06V10/82G06V10/764
CPCG16H50/20G06N3/08G06N3/045G06F18/2415G06F18/214
Inventor 张朝霞鲁雅海泽瑞王锟锟周晓玲王倩
Owner TAIYUAN UNIV OF TECH
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