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Improving Automated COVID-19 Grading with Convolutional Neural Networks
  in Computed Tomography Scans: An Ablation Study

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study

21 September 2020
Coen de Vente
L. Boulogne
K. V. Venkadesh
Cheryl Sital
Nikolas Lessmann
Colin Jacobs
C. Sánchez
Bram van Ginneken
ArXivPDFHTML

Papers citing "Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study"

3 / 3 papers shown
Title
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for
  Cross-Dataset Medical Image Analysis
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Mohammadreza Amirian
Javier A. Montoya-Zegarra
Jonathan Gruss
Yves D. Stebler
A. S. Bozkir
M. Calandri
Friedhelm Schwenker
Thilo Stadelmann
MedIm
30
3
0
19 Aug 2022
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images
  and Acoustic-based Techniques: A Recent Review
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review
Walid Hariri
A. Narin
19
35
0
10 Dec 2020
Coronavirus (COVID-19) Classification using CT Images by Machine
  Learning Methods
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods
Mücahid Barstuğan
U. Ozkaya
Ş. Öztürk
OOD
67
340
0
20 Mar 2020
1