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pro vyhledávání: '"Hantian Dong"'
Publikováno v:
The Clinical Respiratory Journal, Vol 17, Iss 7, Pp 684-693 (2023)
Abstract Purpose The purpose of this study is to propose an efficient coal workers' pneumoconiosis (CWP) clinical prediction system and put it into clinical use for clinical diagnosis of pneumoconiosis. Methods Patients with CWP and dust‐exposed wo
Externí odkaz:
https://doaj.org/article/f264545d404a49c6b1394a6c6efc5b87
Publikováno v:
BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Purpose This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP). Patients and methods We enrolled
Externí odkaz:
https://doaj.org/article/4efbb6c466664313a26372dac0f101ab
Autor:
Xuesen Su, Yuanyuan Sun, Yiwei Shi, Xiaomei Kong, Ting Liu, Hantian Dong, Xiao Yu, Ting Xue, Chenwei Zhang, Xinri Zhang
Publikováno v:
Journal of Occupational & Environmental Medicine; Oct2024, Vol. 66 Issue 10, p826-833, 8p
Autor:
Hantian Dong
Publikováno v:
Hantian Dong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3804e636807024099fba608404ee5d1e
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CPFD&dbname=CPFDLAST2017&filename=XYNF201711001009&uniplatform=NZKPT&v=45tSjVJ4Te05yU3laLmMH558qgQZu6tzVGEA3fud_-CBpIza8gvo0zYosCKn-re1hllEpJDoEmI%3d
https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CPFD&dbname=CPFDLAST2017&filename=XYNF201711001009&uniplatform=NZKPT&v=45tSjVJ4Te05yU3laLmMH558qgQZu6tzVGEA3fud_-CBpIza8gvo0zYosCKn-re1hllEpJDoEmI%3d