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A modified deep convolutional neural network for detecting COVID-19 and
  pneumonia from chest X-ray images based on the concatenation of Xception and
  ResNet50V2

A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

17 April 2020
Mohammad Rahimzadeh
Abolfazl Attar
ArXivPDFHTML

Papers citing "A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2"

13 / 13 papers shown
Title
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion
  Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
Moloud Abdar
Soorena Salari
Sina Qahremani
Fellow Ieee Hak-Keung Lam
Fakhri Karray
Ieee Sadiq Hussain Fellow
Senior Member Ieee Abbas Khosravi
S. M. I. U. Rajendra Acharya
V. Makarenkov
Australia. S. Nahavandi
OOD
31
77
0
18 May 2021
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images
  Based on Confounders
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
K. B. Ahmed
Lawrence Hall
Dmitry Goldgof
Gregory M. Goldgof
Rahul Paul
19
3
0
08 Jan 2021
Triage of Potential COVID-19 Patients from Chest X-ray Images using
  Hierarchical Convolutional Networks
Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks
K. Dev
Sunder Ali Khowaja
A. Bist
V. Saini
Surbhi Bhatia
30
29
0
01 Nov 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis:
  A Review
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
Shahabedin Nabavi
Azar Ejmalian
M. Moghaddam
A. A. Abin
Alejandro F. Frangi
M. Mohammadi
H. S. Rad
23
34
0
01 Oct 2020
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep
  Learning
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
Arman Haghanifar
Mahdiyar Molahasani
Younhee Choi
S. Deivalakshmi
Seokbum Ko
21
4
0
16 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
Delong Chen
Shunhui Ji
Fan Liu
Zewen Li
Xinyu Zhou
MedIm
37
11
0
09 Jun 2020
Vulnerability of deep neural networks for detecting COVID-19 cases from
  chest X-ray images to universal adversarial attacks
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks
Hokuto Hirano
K. Koga
Kazuhiro Takemoto
AAML
27
47
0
22 May 2020
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of
  COVID-19
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19
Sampa Misra
Seungwan Jeon
Seiyon Lee
R. Managuli
Chulhong Kim
31
81
0
12 May 2020
Detecting and Counting Pistachios based on Deep Learning
Detecting and Counting Pistachios based on Deep Learning
Mohammad Rahimzadeh
Abolfazl Attar
13
6
0
08 May 2020
Development of a Machine-Learning System to Classify Lung CT Scan Images
  into Normal/COVID-19 Class
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class
Seifedine Kadry
V. Rajinikanth
Seungmin Rho
N. M. Raja
Vaddi Seshagiri Rao
Palani Thanaraj Krishnan
30
40
0
24 Apr 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images
  and Deep Convolutional Neural Networks
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
A. Narin
Ceren Kaya
Ziynet Pamuk
80
1,765
0
24 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
Dinggang Shen
Yuxin Shi
113
576
0
10 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
379
10,639
0
19 Feb 2017
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