TY - GEN
T1 - Dielectric Breast Phantom by A Conditional GAN
AU - Shao, Wenyi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - CGAN
KW - deep learning
KW - microwave breast imaging
UR - http://www.scopus.com/inward/record.url?scp=85137396697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85137396697&partnerID=8YFLogxK
U2 - 10.1109/AP-S/USNC-URSI47032.2022.9887113
DO - 10.1109/AP-S/USNC-URSI47032.2022.9887113
M3 - Conference contribution
AN - SCOPUS:85137396697
T3 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
SP - 343
EP - 344
BT - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Y2 - 10 July 2022 through 15 July 2022
ER -