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...
| Publié dans: | IEEE transactions on microwave theory and techniques. - 1998. - 70(2022), 11 vom: 08. Nov., Seite 5077-5084 |
|---|---|
| Auteur principal: | |
| Autres auteurs: | |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2022
|
| Accès à la collection: | IEEE transactions on microwave theory and techniques |
| Sujets: | Journal Article Computational electromagnetics convolutional neural network deep learning microwave imaging |
| Accès en ligne |
Volltext |