Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

11 June 2020

Morteza Heidari

Seyedehnafiseh Mirniaharikandehei

Abolfazl Zargari Khuzani

Papers citing "Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms"

23 / 23 papers shown

Title
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19 Danny Falero Muhammad Ashad Kabir Nusrat Homaira 23 0 0 16 Oct 2024
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data Ximing Wen Rosina O. Weber Anik Sen Darryl Hannan Steven C. Nesbit ... Michael J. Morris J. Hunninghake Nicholas E. Villalobos Edward J. Kim Christopher J. MacLellan 23 2 0 01 Jul 2024
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training Karina Yang Alexis Bennett Dominique Duncan OOD 14 1 0 23 Nov 2023
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound Donya Khaledyan T. Marini Avice Oconnell Steven Meng J. Kan Galen Brennan Yu T Zhao Timothy M. Baran Kevin J. Parker 16 2 0 17 Nov 2023
An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnostics Ogechukwu Ukwandu Hanan Hindy Elochukwu A. Ukwandu 10 21 0 30 May 2023
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images Shengchao Chen Sufen Ren Guanjun Wang Mengxing Huang Chenyang Xue ViT MedIm 47 16 0 29 Oct 2022
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors S. Aslani Watjana Lilaonitkul Vaishnavi Gnanananthan D. Raj B. Rangelov A. Young Yipeng Hu P. Taylor Daniel C. Alexander Joseph Jacob 8 4 0 22 Aug 2022
COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles Fabricio A. Breve 9 29 0 18 Nov 2021
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks E. Verenich Tobias Martin Alvaro Velasquez Nazar Khan Faraz Hussain 19 3 0 01 Sep 2021
A Data Augmented Approach to Transfer Learning for Covid-19 Detection Shagufta Henna A. Reji 22 1 0 05 Aug 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 36 7 0 25 Jul 2021
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 20 77 0 18 May 2021
Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images Wu Chao M. Khishe M. Mohammadi S. H. Karim Tarik Ahmed Rashid 18 51 0 14 May 2021
COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray images Mohammad Saber Iraji M. Feizi-Derakhshi J. Tanha MedIm 19 14 0 15 Apr 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 30 55 0 04 Mar 2021
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
Deep learning denoising for EOG artifacts removal from EEG signals N. Mashhadi Abolfazl Zargari Khuzani Morteza Heidari Donya Khaledyan 11 26 0 12 Sep 2020
An approach to human iris recognition using quantitative analysis of image features and machine learning Abolfazl Zargari Khuzani N. Mashhadi Morteza Heidari Donya Khaledyan CVBM 16 9 0 12 Sep 2020
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images Seyedehnafiseh Mirniaharikandehei Morteza Heidari Gopichandh Danala S. Lakshmivarahan Norman 12 45 0 01 Sep 2020
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M. Roberts D. Driggs Matthew Thorpe J. Gilbey Michael Yeung ... Kang Zhang S. Stranks James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb OOD 16 766 0 14 Aug 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 21 11 0 09 Jun 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 80 1,761 0 24 Mar 2020
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 D. Shen Yuxin Shi 111 574 0 10 Mar 2020