Normalizing images is good to improve computer-assisted COVID-19 diagnosis-Reference-Cited by-同舟云学术

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Normalizing images is good to improve computer-assisted COVID-19 diagnosis

Published:2021 Issue: Volume: Page:51-62
ISSN:
Container-title:Data Science for COVID-19
language:
Short-container-title:

Author:

dos Santos Claudio Filipi Gonçalves,Passos Leandro Aparecido,de Santana Marcos Cleison,Papa João Paulo

Publisher

Elsevier

Reference37 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in wuhan, China;Huang;Lancet,2020

2. Clinical Management of Severe Acute Respiratory Infection when Novel Coronavirus (2019-ncov) Infection Is Suspected: Interim Guidance;Organization,2020

3. Coronavirus Disease 2019 (Covid-19): Situation Report;Organization,2020

4. Correlation of chest ct and rt-pcr testing in coronavirus disease 2019 (covid-19) in China: a report of 1014 cases;Ai;Radiology,2020

5. Sensitivity of chest Ct for Covid-19: comparison to Rt-Pcr;Fang;Radiology,2020

Cited by 4 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. Lightweight neural architectures to improve COVID-19 identification;Frontiers in Physics;2023-03-23

2. Explaining COVID-19 diagnosis with Taylor decompositions;Neural Computing and Applications;2022-11-17

3. Deep Learning Applied to COVID-19 Detection in X-Ray Images;AI Applications for Disease Diagnosis and Treatment;2022-06-10

4. MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks;Pattern Recognition and Image Analysis;2022

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