Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Genggeng, Qin"'
Autor:
Zhaodong Zeng, Jiefang Wu, Genggeng Qin, Dong Yu, Zilong He, Weixiong Zeng, Hao Zhou, Jiongbin Lin, Laiyu Liu, Chunxia Qi, Weiguo Chen
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Accurately distinguishing between pulmonary infection and colonization in patients with Acinetobacter baumannii is of utmost importance to optimize treatment and prevent antibiotic abuse or inadequate therapy. An efficient automat
Externí odkaz:
https://doaj.org/article/54d4ff93d25e4d20a86c919bbd0a99ae
Autor:
Fengxia Zeng, Hui Dai, Xu Li, Le Guo, Ningyang Jia, Jun Yang, Danping Huang, Hui Zeng, Weiguo Chen, Ling Zhang, Genggeng Qin
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo compare and evaluate radiomics models to preoperatively predict β-catenin mutation in patients with hepatocellular carcinoma (HCC).MethodsNinety-eight patients who underwent preoperative gadobenate dimeglumine (Gd-BOPTA)-enhanced MRI wer
Externí odkaz:
https://doaj.org/article/83ca041b16de4cc2a51b7b8c08b5ded6
Autor:
Qiongwen Zhang, Kai Wang, Zhiguo Zhou, Genggeng Qin, Lei Wang, Ping Li, David Sher, Steve Jiang, Jing Wang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesAccurate identifying head and neck squamous cell cancer (HNSCC) patients at high risk of local persistence/recurrence (P/R) is of importance for personalized patient management. Here we developed a multi-objective, multi-classifier radiomic
Externí odkaz:
https://doaj.org/article/56584875e8ba47eaa199a9534500b2a5
Autor:
Weixiong Zeng, Wei Li, Kaibin Huang, Zhenzhou Lin, Hui Dai, Zilong He, Renyi Liu, Zhaodong Zeng, Genggeng Qin, Weiguo Chen, Yongming Wu
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
PurposeTo establish an ensemble machine learning (ML) model for predicting the risk of futile recanalization, malignant cerebral edema (MCE), and cerebral herniation (CH) in patients with acute ischemic stroke (AIS) who underwent mechanical thrombect
Externí odkaz:
https://doaj.org/article/48dac356c70e4599abc83a57e107e50b
Publikováno v:
IEEE Access, Vol 9, Pp 59835-59847 (2021)
Locating lung field is a critical and fundamental processing stage in the automated analysis of chest radiographs (CXRs) for pulmonary disorders. During the routine examination of CXRs, using both frontal and lateral CXRs can benefit clinical diagnos
Externí odkaz:
https://doaj.org/article/3c5fc9931ac244c7ab73db9bc0f38571
Autor:
Zilong He, Yue Li, Weixiong Zeng, Weimin Xu, Jialing Liu, Xiangyuan Ma, Jun Wei, Hui Zeng, Zeyuan Xu, Sina Wang, Chanjuan Wen, Jiefang Wu, Chenya Feng, Mengwei Ma, Genggeng Qin, Yao Lu, Weiguo Chen
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Radiologists’ diagnostic capabilities for breast mass lesions depend on their experience. Junior radiologists may underestimate or overestimate Breast Imaging Reporting and Data System (BI-RADS) categories of mass lesions owing to a lack of diagnos
Externí odkaz:
https://doaj.org/article/b71966618ecd4e0c8fdea57db582cd90
Autor:
Chanjuan Wen MD, Weimin Xu MD, Genggeng Qin PhD, Hui Zeng MD, Zilong He MD, Sina Wang MD, Zeyuan Xu MD, Mengwei Ma MD, Zhendong Luo PhD, Weiguo Chen PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 20 (2021)
Objective: To evaluate the mammographic features, clinicopathological characteristics, treatments, and prognosis of pure and mixed tubular carcinomas of the breast. Materials and methods: Twenty-five tubular carcinomas were pathologically confirmed a
Externí odkaz:
https://doaj.org/article/12842afa3c074e86944b1878c3662c29
Autor:
Yi Li, Kexin Wang, Yupeng Chen, Jieqi Cai, Xuemei Qin, Aiping Lu, Daogang Guan, Genggeng Qin, Weiguo Chen
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2021)
Breast cancer (BC) is one of the most common malignant tumors among women worldwide and can be treated using various methods; however, side effects of these treatments cannot be ignored. Increasing evidence indicates that compound kushen injection (C
Externí odkaz:
https://doaj.org/article/ac9a5ce1df434cf6a63d9bc6fde94f77
Autor:
Yingyin Chen, Xiaofang Gou, Xiuxia Feng, Yunbi Liu, Genggeng Qin, Qianjin Feng, Wei Yang, Wufan Chen
Publikováno v:
IEEE Access, Vol 7, Pp 8346-8357 (2019)
Bone suppression of chest radiographs (CXRs) is potentially useful for diagnosing lung diseases for radiologists and computer–aided diagnosis. This paper presents a cascaded convolutional network model in wavelet domain (Wavelet-CCN) for bone suppr
Externí odkaz:
https://doaj.org/article/7fc3f6f38bce482cb8c63cfc661e2bef
Autor:
Xiaoman Duan, Genggeng Qin, Qingqing Ling, Sina Wang, Zeyuan Xu, Hui Zeng, Bin Li, Weiguo Chen, Linghong Zhou, Yuan Xu
Publikováno v:
IEEE Access, Vol 7, Pp 31586-31597 (2019)
Automatically matching corresponding regions of interest (ROIs) on two-view images is valuable in breast cancer diagnosis, benefiting of saving time and cutting the workload. We propose a method for matching the corresponding ROIs by integrating the
Externí odkaz:
https://doaj.org/article/9143a94b56ca4080a65aa19424aa043e