Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
The unpredictable pandemic came to light at the end of December 2019, known as the novel
coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The …
coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The …
A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis
S Capuozzo, C Sansone - … Conference on Image Analysis and Processing, 2023 - Springer
During and after the years of the COVID-19 pandemic, researchers and domain experts put
all their effort into the discovery of accurate and reliable techniques for the detection and …
all their effort into the discovery of accurate and reliable techniques for the detection and …
[PDF][PDF] Multimodal Fusion for Vocal Biomarkers Using Vector Cross-Attention
V Despotovic, A Elbéji, PV Nazarov… - Proc. Interspeech …, 2024 - isca-archive.org
Vocal biomarkers are measurable characteristics of person's voice that provide valuable
insights into various aspects of their physiological and psychological state, or health status …
insights into various aspects of their physiological and psychological state, or health status …
A Comparative Study of Hybrid Deep Learning Techniques for COVID-19 Detection based on Cough Sound Analysis
R Polaki, R Annamalai - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The COVID-19 pandemic, produced by the SARS-CoV-2 virus, has severe global
consequences, resulting in substantial loss of life and posing a serious threat globally …
consequences, resulting in substantial loss of life and posing a serious threat globally …
Multi-view weighted feature fusion with wavelet transform and CNN for enhanced CT image recognition
Z Zhou, Y Yu, C Song, Z Liu, M Shi… - Journal of Intelligent & …, 2023 - content.iospress.com
Reducing noise in CT images and extracting key features are crucial for improving the
accuracy of medical diagnoses, but it remains a challenging problem due to the complex …
accuracy of medical diagnoses, but it remains a challenging problem due to the complex …
[PDF][PDF] AI-Driven Multimodal Deep Learning for COVID-19 Prediction: A Comparative Analysis of Pre-Trained vs. Custom Models Using Cough, X-ray, and CT Scan …
K Oyebode, E Esenogho, M Cameron - 2024 - preprints.org
COVID-19, a respiratory illness that mostly attacks the human lungs emerged in 2019 and
quickly became a global health crisis. Its fast transmission has necessitated the creation of …
quickly became a global health crisis. Its fast transmission has necessitated the creation of …