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A Deep Learning Method to Process Scattered Field Data in Biomedical Imaging System

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A Deep Learning Method to Process Scattered Field Data in Biomedical Imaging System
This paper proposed a deep-learning-based method to process the scattered field data of transmitting antenna,which is unmeasurable in inverse scattering system because the transmitting and receiving antennas are multiplexed.A U-net convolutional neural network(CNN)is used to recover the scattered field data of each transmitting antenna.The numerical results proved that the proposed method can complete the scattered field data at the transmitting antenna which is unable to measure in the actual experiment and can also eliminate the reconstructed error caused by the loss of scattered field data.

inverse problemscattered fielddeep learning

Jing Wang、Naike Du、Xiuzhu Ye

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School of Information and Electronics,Beijing Institute of Technol-ogy,Beijing 100081,China

inverse problem scattered field deep learning

2024

北京理工大学学报(英文版)
北京理工大学

北京理工大学学报(英文版)

影响因子:0.168
ISSN:1004-0579
年,卷(期):2024.33(3)