McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices
S Ahuja, BK Panigrahi, N Dey, A Taneja… - Applied Soft Computing, 2022 - Elsevier
Worldwide COVID-19 is a highly infectious and rapidly spreading disease in almost all age
groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the …
groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the …
Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods
Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
Developed an expert system for analysis of covid-19 affected
S Mishra, S Yadav, M Aggarwal… - Journal of Soft …, 2023 - shmpublisher.com
The expert system solves problems within a specific area of the knowledge base. Prolog is a
logical programming language which works on its knowledge base and effectively can be …
logical programming language which works on its knowledge base and effectively can be …
A novel explainable CNN model for screening covid-19 on x-ray images
H Moujahid, B Cherradi, O El Gannour… - Computer Systems …, 2023 - open-access.bcu.ac.uk
Due to the rapid propagation characteristic of the Coronavirus (COVID-19) disease, manual
diagnostic methods cannot handle the large number of infected individuals to prevent the …
diagnostic methods cannot handle the large number of infected individuals to prevent the …
COVIDX: Computer‐aided diagnosis of COVID‐19 and its severity prediction with raw digital chest X‐ray scans
Background Coronavirus disease (COVID‐19) is a contagious infection caused by severe
acute respiratory syndrome coronavirus‐2 (SARS‐COV‐2) and it has infected and killed …
acute respiratory syndrome coronavirus‐2 (SARS‐COV‐2) and it has infected and killed …
Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration
M Olivelli, M Donati, A Vianello, I Petrucci, S Masi… - Electronics, 2024 - mdpi.com
The emergence of the highly contagious coronavirus disease has led to multiple pandemic
waves, resulting in a significant number of hospitalizations and fatalities. Even outside of …
waves, resulting in a significant number of hospitalizations and fatalities. Even outside of …
[HTML][HTML] Statistical analysis of COVID-19 infection severity in lung lobes from chest CT
M Yousefzadeh, M Zolghadri, M Hasanpour… - Informatics in Medicine …, 2022 - Elsevier
Detection of the COVID 19 virus is possible through the reverse transcription-polymerase
chain reaction (RT-PCR) kits and computed tomography (CT) images of the lungs …
chain reaction (RT-PCR) kits and computed tomography (CT) images of the lungs …
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
The human respiratory system is affected when an individual is infected with COVID-19,
which became a global pandemic in 2020 and affected millions of people worldwide …
which became a global pandemic in 2020 and affected millions of people worldwide …
Classification of COVID-19 chest CT images using optimized deep convolutional generative adversarial network and deep CNN
K Thangavel, K Sasirekha - … on Intelligent Systems: Proceedings of CIS …, 2022 - Springer
Abstract Coronavirus disease 2019 (COVID-19) pandemic has become a major threat to the
entire world and severely affects the health and economy of many people. It also causes the …
entire world and severely affects the health and economy of many people. It also causes the …
Machine Learning Approaches in Deal with the COVID-19: Comprehensive Study
The novel COVID illness (COVID-19) has spread to more than 219 nations on the globe as a
pandemic, making disturbing impacts on medical care, financial conditions, and global …
pandemic, making disturbing impacts on medical care, financial conditions, and global …