{"title":"Dielectric Breast Phantom by A Conditional GAN","authors":"Wenyi Shao","doi":"10.1109/AP-S/USNC-URSI47032.2022.9887113","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":371560,"journal":{"name":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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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