Showing 601 - 620 results of 4,761 for search '"Xiamen University"', query time: 0.15s Refine Results
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    Prediction of axillary lymph node metastasis in early breast cancer patients with ultrasonic videos based deep learning by Wei-Bin Li, Wei-Bin Li, Wei-Bin Li, Wei-Bin Li, Wei-Bin Li, Zhi-Cheng Du, Zhi-Cheng Du, Zhi-Cheng Du, Zhi-Cheng Du, Zhi-Cheng Du, Yue-Jie Liu, Yue-Jie Liu, Yue-Jie Liu, Jun-Xue Gao, Jun-Xue Gao, Jun-Xue Gao, Jia-Gang Wang, Qian Dai, Wen-He Huang, Wen-He Huang, Wen-He Huang, Wen-He Huang

    Published 2023-09-01
    “…ObjectiveTo develop a deep learning (DL) model for predicting axillary lymph node (ALN) metastasis using dynamic ultrasound (US) videos in breast cancer patients.MethodsA total of 271 US videos from 271 early breast cancer patients collected from Xiang’an Hospital of Xiamen University andShantou Central Hospitabetween September 2019 and June 2021 were used as the training, validation, and internal testing set (testing set A). …”
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    Burkholderia cepacia infection in children without cystic fibrosis: a clinical analysis of 50 cases by Huixuan Shi, Huixuan Shi, Huixuan Shi, Xianrui Chen, Lili Chen, Lili Chen, Lili Chen, Bizhen Zhu, Bizhen Zhu, Bizhen Zhu, Weiyuan Yan, Weiyuan Yan, Weiyuan Yan, Xiaobo Ma, Xiaobo Ma, Xiaobo Ma

    Published 2023-05-01
    “…This study outlined the risk factors, antimicrobial susceptibility, and clinical characteristics aiming to improve the treatment of B. cepacia infection.MethodsA retrospective study was conducted based on the 50 cases infection caused by B. cepacia in children without cystic fibrosis, which were diagnosed in the First Affiliated Hospital of Xiamen University, from January 1st, 2011 to December 31st, 2021.ResultsA total of 50 children were infected with B. cepacia, of whom 68% had an underlying health condition, such as cardiovascular disease (23.5%), respiratory disease (17.6%), nervous system disease (14.7%), and neoplastic disease (14.7%). …”
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