Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
COVID-19 pandemic has fueled the interest in artificial intelligence tools for quick diagnosis
to limit virus spreading. Over 60% of people who are infected complain of a dry cough …
to limit virus spreading. Over 60% of people who are infected complain of a dry cough …
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds
Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …
pandemics that continue to affect with its variants. Since it is transmitted through the …
[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …
The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
Challenges and opportunities of deep learning for cough-based COVID-19 diagnosis: A scoping review
In the past two years, medical researchers and data scientists worldwide have focused their
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
G Sunitha, R Arunachalam… - … Journal of Imaging …, 2022 - Wiley Online Library
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection …
G Celik - Computers in Biology and Medicine, 2023 - Elsevier
This study proposes a new deep learning-based method that demonstrates high
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …
COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models
M Loey, S Mirjalili - Computers in biology and medicine, 2021 - Elsevier
Deep Learning shows promising performance in diverse fields and has become an
emerging technology in Artificial Intelligence. Recent visual recognition is based on the …
emerging technology in Artificial Intelligence. Recent visual recognition is based on the …
Deep-learning based approach to identify COVID-19
K Feng, F He, J Steinmann, I Demirkiran - SoutheastCon 2021, 2021 - ieeexplore.ieee.org
COVID-19 is a large-scale contagious respiratory disease that has spread across the world
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …
essential to reduce the spread of the virus. Several recent studies suggest that a significant …
[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19
The current clinical diagnosis of COVID-19 requires person-to-person contact, needs
variable time to produce results, and is expensive. It is even inaccessible to the general …
variable time to produce results, and is expensive. It is even inaccessible to the general …