Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds
The polymerase chain reaction (PCR) test is not only time-intensive but also a contact
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds
COVID-19 is an infectious disease caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2). This deadly virus has spread worldwide, leading to a global …
coronavirus 2 (SARS-CoV-2). This deadly virus has spread worldwide, leading to a global …
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images
Covid-19 has become a deadly pandemic claiming more than three million lives worldwide.
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …
COVID-19 detection with traditional and deep features on cough acoustic signals
YE Erdoğan, A Narin - Computers in Biology and Medicine, 2021 - Elsevier
The COVID-19 epidemic, in which millions of people suffer, has affected the whole world in a
short time. This virus, which has a high rate of transmission, directly affects the respiratory …
short time. This virus, which has a high rate of transmission, directly affects the respiratory …
Multi-features extraction for automating COVID-19 detection from cough sound using deep neural networks
This research paper proposed a smart system based on deep learning to detect COVID-19
patient's using the cough sound. The deep neural networks are used to distinguish between …
patient's using the cough sound. The deep neural networks are used to distinguish between …
Multimodal deep learning model for Covid-19 detection
FY Issahaku, X Liu, K Lu, X Fang, SB Danwana… - … Signal Processing and …, 2024 - Elsevier
This study introduces a novel multimodal deep learning model for detecting Covid-19,
uniquely combining chest X-ray images and cough sound features. We incorporated an …
uniquely combining chest X-ray images and cough sound features. We incorporated an …
Covid-19 symptoms detection based on nasnetmobile with explainable ai using various imaging modalities
The outbreak of COVID-19 has caused more than 200,000 deaths so far in the USA alone,
which instigates the necessity of initial screening to control the spread of the onset of COVID …
which instigates the necessity of initial screening to control the spread of the onset of COVID …
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 …
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 …
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 …
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