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Artificial intelligence-based analysis of the spatial distr..:
Yusuke Kataoka
;
Naoya Tanabe
;
Masahiro Shirata
...
https://doi.org/10.1186/s12931-024-02673-w. , 2024
Link:
https://doi.org/10.1186/s12931-024-02673-w
RT Journal T1
Artificial intelligence-based analysis of the spatial distribution of abnormal computed tomography patterns in SARS-CoV-2 pneumonia: association with disease severity
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:dcd0d6febee64d4f9c3eff8fa47c24fd&Exemplar=1&LAN=DE A1 Yusuke Kataoka A1 Naoya Tanabe A1 Masahiro Shirata A1 Nobuyoshi Hamao A1 Issei Oi A1 Tomoki Maetani A1 Yusuke Shiraishi A1 Kentaro Hashimoto A1 Masatoshi Yamazoe A1 Hiroshi Shima A1 Hitomi Ajimizu A1 Tsuyoshi Oguma A1 Masahito Emura A1 Kazuo Endo A1 Yoshinori Hasegawa A1 Tadashi Mio A1 Tetsuhiro Shiota A1 Hiroaki Yasui A1 Hitoshi Nakaji A1 Michiko Tsuchiya A1 Keisuke Tomii A1 Toyohiro Hirai A1 Isao Ito PB BMC YR 2024 K1 COVID-19 K1 Pneumonia K1 Quantitative analysis K1 Ground glass opacity K1 Peripheral area K1 Central area K1 Diseases of the respiratory system K1 RC705-779 JF https://doi.org/10.1186/s12931-024-02673-w LK http://dx.doi.org/https://doi.org/10.1186/s12931-024-02673-w DO https://doi.org/10.1186/s12931-024-02673-w SF ELIB - SuUB Bremen
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