Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study
Research article (Quantitative Imaging in Medicine and Surgery, 2022) · cited 13× · AI/ML
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Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study
Summary
Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study is a scholarly article[1].
Key Facts
- Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study's an international, multi-center comparative study — instance of is recorded as scholarly article[2].