Near-Field Microwave Scattering Formulation by A Deep Learning Method
A deep learning method is applied to modelling electromagnetic (EM) scattering for microwave breast imaging (MBI). The neural network (NN) accepts 2D dielectric breast maps at 3 GHz and produces scattered-field data on an antenna array composed of 24 transmitters and 24 receivers. The NN was trained...
| Veröffentlicht in: | IEEE transactions on microwave theory and techniques. - 1998. - 70(2022), 11 vom: 09. Nov., Seite 5077-5084 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on microwave theory and techniques |
| Schlagworte: | Journal Article Computational electromagnetics convolutional neural network deep learning microwave imaging |
| Online verfügbar |
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