A Method of Generating Semi-Experimental Biomedical Datasets

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外文标题：A Method of Generating Semi-Experimental Biomedical Datasets

外文摘要：This paper proposed a method to generate semi-experimental biomedical datasets based on full-wave simulation software.The system noise such as antenna port couplings is fully consid-ered in the proposed datasets,which is more realistic than synthetical datasets.In this paper,datasets containing different shapes are constructed based on the relative permittivities of human tissues.Then,a back-propagation scheme is used to obtain the rough reconstructions,which will be fed into a U-net convolutional neural network(CNN)to recover the high-resolution images.Numerical results show that the network trained on the datasets generated by the proposed method can obtain satisfying reconstruction results and is promising to be applied in real-time biomedical imaging.

外文关键词：

electromagnetic imagingdatasetbiomedical imaging

作者：

Jing Wang、Naike Du、Zi He、Xiuzhu Ye

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作者单位：

School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China

关键词：

electromagnetic imaging dataset biomedical imaging

出版年：

2024

DOI：