Covid-19 detection from respiratory sounds with hierarchical spectrogram transformers

I Aytekin, O Dalmaz, K Gonc, H Ankishan… - IEEE journal of …, 2023 - ieeexplore.ieee.org
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves
respiratory assessments. While auscultation is a mainstream method for preliminary …

[HTML][HTML] A review study of the deep learning techniques used for the classification of chest radiological images for COVID-19 diagnosis

Y Wang, CA Hargreaves - International Journal of Information Management …, 2022 - Elsevier
In the fight against COVID-19, the immediate and accurate screening of infected patients is
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …

COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images

MA Eshraghi, A Ayatollahi, SB Shokouhi - BMC Medical Imaging, 2023 - Springer
Background The medical profession is facing an excessive workload, which has led to the
development of various Computer-Aided Diagnosis (CAD) systems as well as Mobile-Aid …

SyntDiaNet: Integrating feature extraction, transfer learning and classifier-embedded generative adversarial network for advanced pneumonia diagnosis

RG Poola, L Pl, SS Yellampalli - Multimedia Tools and Applications, 2024 - Springer
Pneumonia, a significant contributor to global disease and mortality, imposes a substantial
burden on healthcare systems. Conventional approaches to pneumonia detection rely on …

RadiomixNet: Integrating Radiomics and Feature Extraction for Advanced Pneumonia Diagnosis

RG Poola, SS Yellampalli - IEEE Access, 2024 - ieeexplore.ieee.org
The research outlines a workflow for medical image analysis and disease diagnosis through
radiomics feature extraction. The dataset, consisting of chest X-ray images, was pre …

[PDF][PDF] A review of medical image-based diagnosis of COVID-19

J Yu, S Yan, C Song, H Cui - zentimepublishing.com
The pandemic virus COVID-19 has caused hundreds of millions of infections and deaths,
resulting in enormous social and economic losses worldwide. As the virus strains continue …

[PDF][PDF] Generative Adversarial Network for the Segmentation of Ground Glass Opacities and Consolidations from Lung CT Images.

X Wang, N Khuri - BIOINFORMATICS, 2022 - scitepress.org
The coronavirus disease 2019 is a global pandemic that threatens lives of many people and
poses a significant burden for healthcare systems worldwide. Computerized Tomography …