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"An interpretable deep learning workflow for discovering subvisual ..."

Longxi Zhou et al. (2022)

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DOI: 10.1038/S42256-022-00483-7

access: open

type: Journal Article

metadata version: 2023-01-05

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  dblp key:
  - journals/natmi/ZhouMHKZCLXZYBZ22
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  persistent URL:
  - https://dblp.org/rec/journals/natmi/ZhouMHKZCLXZYBZ22
Longxi Zhou, Xianglin Meng, Yuxin Huang, Kai Kang, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao:
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors. Nat. Mach. Intell. 4(5): 494-503 (2022)

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