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"The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation ..."

Paras Lakhani et al. (2023)

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DOI: 10.1007/S10278-022-00706-8

access: closed

type: Journal Article

metadata version: 2024-03-15

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  dblp key:
  - journals/jdi/LakhaniMSZAAPPPBCFCTWPKGMBSJPVCALIS23
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  persistent URL:
  - https://dblp.org/rec/journals/jdi/LakhaniMSZAAPPPBCFCTWPKGMBSJPVCALIS23
Paras Lakhani, J. Mongan, C. Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, Theresa X. Pham, Michael Peterson, P. J. Bergquist, Tessa Sundaram Cook, S. F. Ferraciolli, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih:
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 36(1): 365-372 (2023)

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