Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review

10 December 2020

Papers citing "Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review"

5 / 5 papers shown

Title
Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds Y. Erdoğan A. Narin OOD 30 2 0 16 Jan 2022
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning Navid Ghassemi A. Shoeibi Marjane Khodatars Jónathan Heras Alireza Rahimi A. Zare R. B. Pachori Juan M Gorriz MedIm 35 56 0 24 Apr 2021
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC Mohamed Bader Alsabek I. Shahin Abdelfatah Hassan 13 49 0 17 Oct 2020
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 1,012 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 74 1,761 0 24 Mar 2020