Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays

Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays

Abstract A critical step in effective care and treatment planning for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause for the coronavirus disease 2019 (COVID-19) pandemic, is the assessment of the severity of disease progression. Chest x-rays (CXRs) are often used to assess S...

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Bibliographic Details
Main Authors: A. Wong, Z. Q. Lin, L. Wang, A. G. Chung, B. Shen, A. Abbasi, M. Hoshmand-Kochi, T. Q. Duong
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-88538-4

Internet

https://doi.org/10.1038/s41598-021-88538-4

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