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Detection and severity classification of COVID-19 in CT images using
  deep learning

Detection and severity classification of COVID-19 in CT images using deep learning

15 February 2021
Yazan Qiblawey
Anas Tahir
M. Chowdhury
Amith Khandakar
S. Kiranyaz
Tawsifur Rahman
Nabil Ibtehaz
S. Mahmud
Somaya Al-Madeed
F. Musharavati
ArXivPDFHTML

Papers citing "Detection and severity classification of COVID-19 in CT images using deep learning"

2 / 2 papers shown
Title
Light In The Black: An Evaluation of Data Augmentation Techniques for
  COVID-19 CT's Semantic Segmentation
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
Bruno A. Krinski
Daniel V. Ruiz
E. Todt
3DPC
32
2
0
19 May 2022
QUCoughScope: An Artificially Intelligent Mobile Application to Detect
  Asymptomatic COVID-19 Patients using Cough and Breathing Sounds
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds
M. Chowdhury
Nabil Ibtehaz
Tawsifur Rahman
Y. Mekki
Yazan Qibalwey
S. Mahmud
Maymouna Ezeddin
S. Zughaier
S. Al-Máadeed
21
28
0
20 Mar 2021
1