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Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography

Publication ,  Conference
Dahal, L; Tushar, FI; Abadi, E; Fricks, RB; Mazurowski, M; Segars, WP; Samei, E; Lo, JY
Published in: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
January 1, 2022

Many published studies use deep learning models to predict COVID-19 from chest x-ray (CXR) images, often reporting high performances. However, the models do not generalize well on independent external testing. Common limitations include the lack of medical imaging data and disease labels, leading to training on small datasets or drawing classes from different institutions. To address these concerns, we designed an external validation study of deep learning classifiers for COVID-19 in CXR images including XCAT phantoms as well. We hypothesize that a simulated CXR image dataset obtained from the XCAT phantom allows for better control of the dataset including pixel-level ground truth. This setup allows for multiple advantages: First, we can validate the publicly available models using simulated chest x-rays. Secondly, we can also address clinically relevant questions with this setup such as effect of dose levels and sizeof COVID-19 pneumonia in performance of deep learning classifier. We

Duke Scholars

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9781510649378

Publication Date

January 1, 2022

Volume

12031
 

Citation

APA
Chicago
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MLA
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Dahal, L., Tushar, F. I., Abadi, E., Fricks, R. B., Mazurowski, M., Segars, W. P., … Lo, J. Y. (2022). Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 12031). https://doi.org/10.1117/12.2612975
Dahal, L., F. I. Tushar, E. Abadi, R. B. Fricks, M. Mazurowski, W. P. Segars, E. Samei, and J. Y. Lo. “Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography.” In Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12031, 2022. https://doi.org/10.1117/12.2612975.
Dahal L, Tushar FI, Abadi E, Fricks RB, Mazurowski M, Segars WP, et al. Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2022.
Dahal, L., et al. “Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography.” Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12031, 2022. Scopus, doi:10.1117/12.2612975.
Dahal L, Tushar FI, Abadi E, Fricks RB, Mazurowski M, Segars WP, Samei E, Lo JY. Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2022.

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9781510649378

Publication Date

January 1, 2022

Volume

12031