Development and validation of a deep learning-based automated computed tomography image segmentation and diagnostic model for infectious hydronephrosis: a retrospective multicentre cohort study

The Key-Area Research and Development Program of Guangdong Province, and the National Natural Science Foundation of China.

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Publication Details

Journal
EClinicalMedicine
Published
2025-03-13
DOI
https://doi.org/10.1016/j.eclinm.2025.103146
Citations
7
Primary Topic
Thermal Regulation in Medicine
Type
article
Field-Weighted Citation Impact
10.82

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article

Development and validation of a deep learning-based automated computed tomography image segmentation and diagnostic model for infectious hydronephrosis: a retrospective multicentre cohort study

Zhensheng Hu, Xingnan Liao, Cong Lai, Yuli Zhao et al.
7 citations
EClinicalMedicine
Thermal Regulation in Medicine
10.82
article

Development and validation of a deep learning-based automated computed tomography image segmentation and diagnostic model for infectious hydronephrosis: a retrospective multicentre cohort study

Zhensheng Hu, Xingnan Liao, Cong Lai, Yuli Zhao, Zhuohang Li, Cheng Liu, Qiliang Zhai, Jiamin Zhu, Zhikai Wu, Juanyi Shi, Kewei Xu, Xue‐cheng Bi, Yi Zhou, Xin Huang, Y.B. Luo, Menghua Dai, Chunnuan Deng, Xuanhao Qi
article en
7 citations

Abstract

The Key-Area Research and Development Program of Guangdong Province, and the National Natural Science Foundation of China.

EClinicalMedicineVol. 82
Sun Yat-sen University (CN), Guangdong Province Stomatological Hospital (CN), Ganzhou People's Hospital (CN), Sun Yat-sen Memorial Hospital (CN), Xiyuan Hospital (CN), Sun Yat-sen University Cancer Center (CN), Guangdong Provincial Center for Disease Control and Prevention (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Guangdong Science and Technology Department, Special Project for Research and Development in Key areas of Guangdong Province
Openalex Percentile: Top 1%
Thermal Regulation in Medicine
10.82
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