Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Yunmei Shi"'
Autor:
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC). Methods Retrospective da
Externí odkaz:
https://doaj.org/article/eacda03bf80b4cd899c9b73435d7bcea
Autor:
Peng Wan, Bing Wang, Wenji Yu, Li Shang Zhai, Bo Qian, Feifei Zhang, Bao Liu, Jianfeng Wang, Xiaoliang Shao, Yunmei Shi, Qi Jiang, Meng Fei Wang, Shan Shao, Yuetao Wang
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Aim Atrial fibrillation (AF) is a progressive disease from paroxysmal to persistent, and persistent AF (PerAF) had worse prognosis. AF has potential link with inflammation, but it is not clear whether PerAF or paroxysmal AF (ParAF) is more c
Externí odkaz:
https://doaj.org/article/b8804dd101914c1b93d48c0175d9bf86
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Lung cancer, the most frequently diagnosed cancer worldwide, is the leading cause of cancer-associated deaths. In recent years, significant progress has been achieved in basic and clinical research concerning the epidermal growth factor receptor (EGF
Externí odkaz:
https://doaj.org/article/9cbee6959cf04001a59ebbf9f19471ab
Publikováno v:
Electronic Research Archive, Vol 31, Iss 6, Pp 3495-3509 (2023)
When drafting official government documents, it is necessary to firmly grasp the main idea and ensure that any positions stated within the text are consistent with those in previous documents. In combination with the field's demands, By taking advant
Externí odkaz:
https://doaj.org/article/0c3ebb596b664edbac70421ce1512735
Publikováno v:
Electronic Research Archive, Vol 31, Iss 6, Pp 3609-3624 (2023)
Sentence coherence is an essential foundation for discourse coherence in natural language processing, as it plays a vital role in enhancing language expression, text readability, and improving the quality of written documents. With the development of
Externí odkaz:
https://doaj.org/article/8edff0bdbb9f4dbc8d17021300eafddb
Autor:
Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Xinyu Ge, Yuetao Wang, Xiaonan Shao
Publikováno v:
EJNMMI Research, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Background This study aims to construct radiomics models based on [18F]FDG PET/CT using multiple machine learning methods to predict the EGFR mutation status of lung adenocarcinoma and evaluate whether incorporating clinical parameters can i
Externí odkaz:
https://doaj.org/article/ee5fd8fcadd34e44bb00b448a673af17
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Objective Previous studies have shown that global coronary artery calcium score (CACS) can improve single photon emission computerized tomography (SPECT) myocardial perfusion imaging (MPI) to detect obstructive coronary artery disease (CAD).
Externí odkaz:
https://doaj.org/article/a0d2c951057249af8adc725995e659f8
Autor:
Bao Liu, Wenji Yu, Jianfeng Wang, Xiaoliang Shao, Feifei Zhang, Mingge Zhou, Yunmei Shi, Bing Wang, Yiduo Xu, Yuetao Wang
Publikováno v:
BMC Cardiovascular Disorders, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Objective The rest-only single photon emission computerized tomography (SPECT) myocardial perfusion imaging (MPI) had low sensitivity in diagnosing obstructive coronary artery disease (CAD). Improving the efficacy of resting MPI in diagnosin
Externí odkaz:
https://doaj.org/article/1c36d71502b9484181095775ff17888e
Autor:
Xiaonan Shao, Rong Niu, Xiaoliang Shao, Jianxiong Gao, Yunmei Shi, Zhenxing Jiang, Yuetao Wang
Publikováno v:
EJNMMI Physics, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Purpose This work aims to train, validate, and test a dual-stream three-dimensional convolutional neural network (3D-CNN) based on fluorine 18 (18F)-fluorodeoxyglucose (FDG) PET/CT to distinguish benign lesions and invasive adenocarcinoma (I
Externí odkaz:
https://doaj.org/article/9441fcd5608447b39f27ca47d353e6d6
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3284 (2023)
Local overlapping community detection is a hot problem in the field of studying complex networks. It is the process of finding dense clusters based on local network information. This paper proposes a method called local greedy extended dynamic overla
Externí odkaz:
https://doaj.org/article/bda642be92b6461b919a224f3383ea33