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COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest
  X-ray Images Classification

COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification

20 December 2023
V. Esmaeili
Mahmood Mohassel Feghhi
S. Shahdi
    LM&MA
ArXivPDFHTML

Papers citing "COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification"

5 / 5 papers shown
Title
Early diagnosis of Alzheimer's disease from MRI images with deep
  learning model
Early diagnosis of Alzheimer's disease from MRI images with deep learning model
Sajjad Aghasi Javid
Mahmood Mohassel Feghhi
MedIm
16
3
0
27 Sep 2024
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose
  COVID-19 in X-Ray Images
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
E. E. Hemdan
M. Shouman
Mohamed E. Karar
86
1,013
0
24 Mar 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
1,762
0
24 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
260
1,491
0
30 Nov 2016
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