Unet-based for photoacoustic imaging artifact removal - Details

Author：

Deng, J. (Deng, J..) | Feng, J. (Feng, J..) | Li, Z. (Li, Z..) | Sun, Z. (Sun, Z..) | Jia, K. (Jia, K..)

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Abstract：

In　photoacoustic　tomography,　many　artifacts　exist　in　the　reconstructed　images.　To　improve　the　image　quality,　we　propose　a　novel　architecture,　dubbed　SE-Unet.　Superior　performances　are　obtained　comparing　to　back　projection　and　the　Sta-Unet　based　algorithm.　©　OSA　2020

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[ 1 ] [Deng J.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Deng J.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
[ 3 ] [Feng J.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Feng J.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
[ 5 ] [Li Z.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 6 ] [Li Z.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
[ 7 ] [Sun Z.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 8 ] [Sun Z.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
[ 9 ] [Jia K.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 10 ] [Jia K.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China

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ISSN： 2162-2701

Year： 2020

Language： English

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 3

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