Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds

N Sobahi, O Atila, E Deniz, A Sengur… - biocybernetics and …, 2022 - Elsevier
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 …

Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds

LH Nguyen, NT Pham, LT Nguyen, TT Nguyen… - Expert Systems with …, 2023 - Elsevier
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 …

A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images

U Sait, GL KV, S Shivakumar, T Kumar, R Bhaumik… - Applied Soft …, 2021 - Elsevier
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 …

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 …

Multi-features extraction for automating COVID-19 detection from cough sound using deep neural networks

M Tawfik, S Nimbhore, NM Al-Zidi… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
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 …

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 …

Covid-19 symptoms detection based on nasnetmobile with explainable ai using various imaging modalities

MM Ahsan, KD Gupta, MM Islam, S Sen… - Machine Learning and …, 2020 - mdpi.com
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 …

MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds

S Ulukaya, AA Sarıca, O Erdem, A Karaali - Medical & Biological …, 2023 - Springer
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 …

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 …

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 …