条件氮化镓的介电乳房幻像

2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) Pub Date : 2022-07-10 DOI:10.1109/AP-S/USNC-URSI47032.2022.9887113

Wenyi Shao

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引用次数: 1

摘要

本文采用条件生成对抗网络(CGAN)生成合成电介质乳房幻象。生成式神经网络产生的幻象为128 × 128像素，频率为3ghz。生成的图像可用于微波乳房成像(MBI)研究的电磁模拟，并可作为MBI研究机器学习算法的训练数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dielectric Breast Phantom by A Conditional GAN

Synthetic dielectric breast phantoms are generated by conditional generative adversarial network (CGAN) in this paper. Phantoms produced by the generative neural network are 128 by 128 pixels for frequency 3 GHz. The generated phantoms can be used in electromagnetic simulations for microwave breast imaging (MBI) research and can serve as the training data to develop machine learning algorithms for MBI research.

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来源期刊

2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)

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