Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models
Titel:
Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models
Auteur:
Reza, Syed M.S. Chu, Winston T. Homayounieh, Fatemeh Blain, Maxim Firouzabadi, Fatemeh D. Anari, Pouria Y. Lee, Ji Hyun Worwa, Gabriella Finch, Courtney L. Kuhn, Jens H. Malayeri, Ashkan Crozier, Ian Wood, Bradford J. Feuerstein, Irwin M. Solomon, Jeffrey