Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hengfeng Shi"'
Autor:
Dengfa Yang, Yang Yang, MinYi Zhao, Hongli Ji, Zhongfeng Niu, Bo Hong, Hengfeng Shi, Linyang He, Meihua Shao, Jian Wang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Objective To intelligently evaluate the invasiveness of pure ground-glass nodules with multiple classifications using deep learning. Methods pGGNs in 1136 patients were pathologically confirmed as lung precursor lesions [atypical adenomatous
Externí odkaz:
https://doaj.org/article/88a2dea4819b4303bfbb05790d46d2f2
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-14 (2023)
Abstract Background The morphology of the adrenal tumor and the clinical statistics of the adrenal tumor area are two crucial diagnostic and differential diagnostic features, indicating precise tumor segmentation is essential. Therefore, we build a C
Externí odkaz:
https://doaj.org/article/518bce1ad20b4af49d893e0e010c4c60
Autor:
Hengfeng Shi, Zhihua Xu, Guohua Cheng, Hongli Ji, Linyang He, Juan Zhu, Hanjin Hu, Zongyu Xie, Weiqun Ao, Jian Wang
Publikováno v:
European Journal of Medical Research, Vol 27, Iss 1, Pp 1-12 (2022)
Abstract Background The coronavirus disease 2019 (COVID-19) is a pandemic now, and the severity of COVID-19 determines the management, treatment, and even prognosis. We aim to develop and validate a radiomics nomogram for identifying patients with se
Externí odkaz:
https://doaj.org/article/03e8df0fe4114310aa2d50250cb86458
Autor:
Cui Zhang, Guangzhao Yang, Chunxian Cai, Zhihua Xu, Hai Wu, Youmin Guo, Zongyu Xie, Hengfeng Shi, Guohua Cheng, Jian Wang
Publikováno v:
European Journal of Medical Research, Vol 25, Iss 1, Pp 1-10 (2020)
Abstract Background The coronavirus disease 2019 (COVID-19) has brought a global disaster. Quantitative lesions may provide the radiological evidence of the severity of pneumonia and further to assess the effect of comorbidity on patients with COVID-
Externí odkaz:
https://doaj.org/article/3465ad413fd14173835ea7af46dedf13
Publikováno v:
Translational Cancer Research. 12:113-124
Objective To evaluate the value of dual-energy CT combined with carcinoembryonic antigen (CEA)and soluble cytokeratin 19 fragment(CY21-1) in predicting epidermal growth factor receptor(EGFR) mutations of patients with advanced lung adenocarcinoma.Met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b24b42168ba3c577bf3970b3a91635f
https://doi.org/10.21203/rs.3.rs-1921593/v1
https://doi.org/10.21203/rs.3.rs-1921593/v1
Autor:
Cui Zhang, Guangzhao Yang, Chunxian Cai, Zhihua Xu, Hai Wu, Youmin Guo, Zongyu Xie, Hengfeng Shi, Guohua Cheng, Jian Wang
Background: The coronavirus disease 2019 (COVID-19) has brought a global disaster. Quantitative lesions may provide the radiological evidence of the severity of pneumonia and further to assess the effect of comorbidity on patients with COVID-19.Metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d05d476168b941c4a8a3a8895d6325e9
https://doi.org/10.21203/rs.3.rs-52343/v2
https://doi.org/10.21203/rs.3.rs-52343/v2