Peer-reviewedCC BY-NC-NDJournal of thoracic disease
Clinical utility of CT-based deep learning for differentiating pulmonary aspergillosis from bacterial pneumonia: a multicenter retrospective study
4 affiliations
- 1National Center for Respiratory Medicine , National Clinical Research Center for Respiratory Disease , State Key Laboratory of Respiratory Disease , Guangzhou Institute of Respiratory Health , The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , ;
- 2Neusoft Research of Intelligent Healthcare Technology Co., Ltd. , Shenyang , ;
- 3School of Biomedical Sciences and Engineering , South China University of Technology , Guangzhou International Campus , Guangzhou , ;
- 4Department of Radiology , The Second Affiliated Hospital of Guangzhou Medical University , Guangzhou ,
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BibTeX
@article{li2026clinical,
title = {{Clinical utility of CT-based deep learning for differentiating pulmonary aspergillosis from bacterial pneumonia: a multicenter retrospective study}},
author = {Tianyu Li and Ronger Zhang and Huanyao Zhang and Deyan Chen and Junnan Pan and Jiejia Chen and Wei Wang and Chengbao Peng and Fan Yang and Xia Zhang and Zhengtu Li and Jinping Zheng and Feng Ye and Yun Li},
journal = {Journal of thoracic disease},
year = {2026},
month = aug,
url = {https://europepmc.org/article/PMC/PMC13655879},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Clinical utility of CT-based deep learning for differentiating pulmonary aspergillosis from bacterial pneumonia: a multicenter retrospective study
AU - Tianyu Li
AU - Ronger Zhang
AU - Huanyao Zhang
AU - Deyan Chen
AU - Junnan Pan
AU - Jiejia Chen
AU - Wei Wang
AU - Chengbao Peng
AU - Fan Yang
AU - Xia Zhang
AU - Zhengtu Li
AU - Jinping Zheng
AU - Feng Ye
AU - Yun Li
PY - 2026
DA - 2026/08/26
JO - Journal of thoracic disease
UR - https://europepmc.org/article/PMC/PMC13655879
SN - 2072-1439
SN - 2077-6624
ER -