Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training-Reference-Cited by-同舟云学术

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Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training

Published:2021-12-01 Issue:06 Volume:8 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Fricks Rafael B.¹,Ria Francesco²,Chalian Hamid²,Khoshpouri Pegah²,Abadi Ehsan²,Bianchi Lorenzo³,Segars William P.²,Samei Ehsan²

Affiliation:

1. National Artificial Intelligence Institute, Department of Veterans Affairs, Washington, D.C.

2. Duke University, Carl E. Ravin Advanced Imaging Laboratory, Department of Radiology, Durham, North C

3. ASST della Valle Olona, Medical Physics Department, Busto Arsizio

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images;IEEE Access;2022

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