Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database-Reference-Cited by-同舟云学术

Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database

Published:2021-09 Issue: Volume:108 Page:107490
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Owais Muhammad,Yoon Hyo Sik,Mahmood Tahir,Haider Adnan,Sultan Haseeb^ORCID,Park Kang Ryoung^ORCID

Funder

Institute for Information Communication Technology Planning and Evaluation

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Software

Reference57 articles.

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3. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

4. Sensitivity of chest CT for COVID-19: comparison to RT-PCR;Fang;Radiology,2020

5. Imaging profile of the COVID19 infection: radiologic findings and literature review;Ng;Radiol. Cardiothorac. Imaging,2020

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