Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images-Reference-Cited by-同舟云学术

Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images

Published:2022-06 Issue: Volume:488 Page:457-469
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ali Ahmed Sara Atito,Yavuz Mehmet Can,Şen Mehmet Umut,Gülşen Fatih,Tutar Onur,Korkmazer Bora,Samancı Cesur,Şirolu Sabri,Hamid Rauf,Eryürekli Ali Ergun,Mammadov Toghrul,Yanikoglu Berrin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

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4. Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections;Long;Nature Medicine,2020

5. L. Wang and A. Wong, “COVID-Net: A tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images,” arXiv preprint arXiv:2003.09871, 2020.

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