"Common pitfalls and recommendations for using machine learning to detect ..."

Michael Roberts et al. (2021)

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DOI: 10.1038/S42256-021-00307-0

access: open

type: Journal Article

metadata version: 2023-01-05

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  - https://dblp.org/rec/journals/natmi/RobertsDTGYUAEM21
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3(3): 199-217 (2021)

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