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Zhaohui Tang

As seen in: Frontiers, MDPI, Archives of Public Health, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, Dove Medical Press, Chemistry World, The Journal of Biological Chemistry, International Journal of Electronic Business, EJSO - European Journal of Surgical Oncology
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Articles

Novel image segmentation model of multi-view sheep face for identity recognition

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By Suhui Liu, Guangpu Wang, Chuanzhong Xuan, Zhaohui Tang
| ijabe.org
Suhui Liu, Guangpu Wang, Chuanzhong Xuan, Zhaohui Tang, Junze Jia Keywords image segmentation; sheep face; deep learning; multi-view; feature fusion Full Text: PDF References Jie C, Cao X K, Wang S X, Zhang J Q, Yue B L, Zhang X Y, et al. 3D genome organization and its study in livestock breeding. Journal of Integrative Agriculture, 2024; 23（1）: 39–58. Huang L, Qian B, Guan F, Hou Z, Zhang Q. Goat face recognition model based on wavelet transform and convolutional neural networks.
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Letter for the article A Nomogram for Diagnosing Ventilator-Associated

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By Zhongqiu Tang, Zhaohui Tang
| Dove Medical Press
Back to Journals » Journal of Inflammation Research » Volume 18 Authors Tang Z, Tang Z Received 10 April 2025 Accepted for publication 30 April 2025 Published 9 May 2025 Volume 2025:18 Pages 6103—6104 DOI https://doi.org/10.2147/JIR.S533578 Checked for plagiarism Yes Editor who approved publication: Professor Ning Quan Zhongqiu Tang, Zhaohui Tang Department of Oncology, The Central Hospital of Yongzhou, Yongzhou, Hu Nan, 425000, People’s Republic of China Correspondence: Zhaohui Tang,...
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Deciphering the Proteome and Phosphoproteome of Peanut (Arachis hypogaea L.) Pegs Penetrating into the Soil

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By Mei He, Zhaohui Tang, Keke Liu, Jianguo Wang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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