Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19

OBJECTIVE: To describe the experience of implementing a deep learning-based computer-aided detection (CAD) system for the interpretation of chest X-ray radiographs (CXR) of suspected coronavirus disease (COVID-19) patients and investigate the diagnostic performance of CXR interpretation with CAD ass...

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Detalles Bibliográficos
Autores principales: Hwang, Eui Jin, Kim, Hyungjin, Yoon, Soon Ho, Goo, Jin Mo, Park, Chang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2020
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458860/
https://www.ncbi.nlm.nih.gov/pubmed/32729263
http://dx.doi.org/10.3348/kjr.2020.0536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458860/
https://www.ncbi.nlm.nih.gov/pubmed/32729263
http://dx.doi.org/10.3348/kjr.2020.0536

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