A CNN-based Image Reconstruction Scheme for Complex-valued Multi-frequency Electrical Capacitance Tomography

Author:

Xiong Yifei1,Zhu Liying2,Zhang Maomao3,Wang Zheming1,Liu Yongsheng4,Lu Wu1

Affiliation:

1. Shanghai University of Electric Power,School of Electrical Engineering,Shanghai,China

2. City University of Hong Kong,Department of Biomedical Engineering,Hong Kong SAR,China

3. Tsinghua Shenzhen International Graduate School,Shenzhen,China

4. Insititute of Solar Energy Shanghai University of Electric Power,Shanghai,China

Funder

Shanghai Education Development Foundation

Publisher

IEEE

Reference16 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. Conductivity prediction and image reconstruction of complex-valued multi-frequency electrical capacitance tomography based on deep neural network;zhu;IEEE Transactions on Instrumentation and Measurement,2021

3. Generating sequences with recurrent neural networks;graves;arXiv preprint arXiv 1308 0850,2013

4. Understanding of a convolutional neural network

5. Design of electrical capacitance tomography sensors

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