Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images-Reference-Cited by-同舟云学术

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Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images

Published:2022-09 Issue: Volume:63 Page:101763
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Akbarimajd Adel,Hoertel Nicolas,Hussain Mohammad Arafat,Neshat Ali Asghar,Marhamati Mahmoud,Bakhtoor Mahdi,Momeny Mohammad

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference46 articles.

1. COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing;Hasan;Inform. Med. Unlocked,2021

2. Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method;Jia;Comput. Biol. Med.,2021

3. Deep learning approaches for COVID-19 detection based on chest X-ray images;Ismael;Expert Syst. Appl.,2021

4. A novel method based on machine vision system and deep learning to detect fraud in turmeric powder;Jahanbakhshi;Comput. Biol. Med.,2021

5. Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning;Jahanbakhshi;Comput. Biol. Med.,2021

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1. Multifaceted Disease Diagnosis: Leveraging Transfer Learning with Deep Convolutional Neural Networks on Chest X-Rays for COVID-19, Pneumonia, and Tuberculosis;The Open Bioinformatics Journal;2024-07-05

2. Patient's airway monitoring during cardiopulmonary resuscitation using deep networks;Medical Engineering & Physics;2024-07

3. FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images;Medical & Biological Engineering & Computing;2024-05-07

4. Automatic Detection of Banana Maturity—Application of Image Recognition in Agricultural Production;Processes;2024-04-16

5. Analysis for diagnosis of pneumonia symptoms using chest X-ray based on MobileNetV2 models with image enhancement using white balance and contrast limited adaptive histogram equalization (CLAHE);Biomedical Signal Processing and Control;2024-04

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