[HTML][HTML] Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis

YEI El-Bouzaidi, O Abdoun - Scientific African, 2023 - Elsevier
In December 2019, the first case of coronavirus 2019 (COVID-19) appeared in China,
quickly leading to a global pandemic. Early and accurate diagnosis is crucial for effective …

[HTML][HTML] A review on lung disease recognition by acoustic signal analysis with deep learning networks

AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Task scheduling mechanisms for fog computing: a systematic survey

M Hosseinzadeh, E Azhir, J Lansky, S Mildeova… - IEEE …, 2023 - ieeexplore.ieee.org
In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …

Novel framework based on ensemble classification and secure feature extraction for COVID-19 critical health prediction

R Priyadarshini, AQ Md, S Mohan, A Alghamdi… - … Applications of Artificial …, 2023 - Elsevier
The Covid outbreak necessitated the use of an automated method for treating patients with
critical symptoms. Increasing use of the Internet of Things (IoT) and smart devices requires …

[HTML][HTML] Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review

J Kufel, K Bargieł, M Koźlik, Ł Czogalik… - … Journal of Medical …, 2022 - ncbi.nlm.nih.gov
This systematic review focuses on using artificial intelligence (AI) to detect COVID-19
infection with the help of X-ray images. Methodology: In January 2022, the authors searched …

[HTML][HTML] COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features

S Alinsaif - Computation, 2024 - mdpi.com
This study investigates techniques for medical image classification, specifically focusing on
COVID-19 scans obtained through computer tomography (CT). Firstly, handcrafted methods …

[HTML][HTML] Systematic review of content analysis algorithms based on deep neural networks

J Rezaeenour, M Ahmadi, H Jelodar… - Multimedia Tools and …, 2023 - Springer
Today according to social media, the internet, Etc. Data is rapidly produced and occupies a
large space in systems that have resulted in enormous data warehouses; the progress in …

[HTML][HTML] PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning

AI Saad, FA Maghraby, OM Badawy - Neural Computing and Applications, 2024 - Springer
Colorectal cancer (CRC) is a malignant condition that affects the colon or rectum, and it is
distinguished by abnormal cell growth in these areas. Colon polyps, which are …

MSAMS-Net: accurate lung lesion segmentation from COVID-19 CT images

Z Wang, H Zhu, X Gao - Multimedia Tools and Applications, 2024 - Springer
Abstract The coronavirus disease 2019 (COVID-19) has emerged as a global pandemic,
inflicting significant harm on the health of humans. A crucial objective in combating this …

Realizing resilient global market opportunities and societal benefits through innovative digital technologies in the post Covid-19 era: A conceptual framework and …

P Galetsi, K Katsaliaki, S Kumar - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A contribution to mitigate the disastrous effects of the COVID-19 pandemic has been
exemplified by the development of innovative product and service applications with the use …