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RESE-CNN: Residual Squeeze-and-Excitation Network for High-Contrast Optical Tomography Reconstruction Cover

RESE-CNN: Residual Squeeze-and-Excitation Network for High-Contrast Optical Tomography Reconstruction

Measurement Science Review
Volume 25 (2025): Issue 2 (April 2025)
By: Yingkuang Zhu,  Zhenhua Pan,  Huajun Li,  Jianyang Chen and  Yihao Sheng  
Open Access
|Jun 2025

Authors

Yingkuang Zhu

College of Automation, Hangzhou Dianzi University, Hangzhou, China

Zhenhua Pan

College of Automation, Hangzhou Dianzi University, Hangzhou, China

Huajun Li

hjli@hdu.edu.cn

College of Automation, Hangzhou Dianzi University, Hangzhou, China

Jianyang Chen

College of Automation, Hangzhou Dianzi University, Hangzhou, China

Yihao Sheng

College of Automation, Hangzhou Dianzi University, Hangzhou, China
DOI: https://doi.org/10.2478/msr-2025-0010 | Journal eISSN: 1335-8871
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Language: English
Page range: 72 - 82
Submitted on: Jun 20, 2024
|
Accepted on: Apr 23, 2025
|
Published on: Jun 7, 2025
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
optical tomography,
deep learning,
reconstruction algorithm
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2025 Yingkuang Zhu, Zhenhua Pan, Huajun Li, Jianyang Chen, Yihao Sheng, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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