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
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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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