Mathematical Model for Anisotropic diffusion Filter and GLRLM Feature Extraction to Detect Covid-19 from Chest X-Ray Images

S Sanjayprabu, RS Kumar… - … and Robotics (STCR …, 2022 - ieeexplore.ieee.org
In December 2019, the SARS-CoV-2 virus, often referred to as COVID-19, was discovered in
Wuhan, China. It is very virulent and has spread very quickly throughout the world. With …

Covid19 identification from chest x-ray images using machine learning classifiers with glcm features

SD Thepade, SV Bang, PR Chaudhari… - … Electronic Letters on …, 2020 - elcvia.cvc.uab.es
From staying quarantined at home, practicing work from home to moving outside wearing
masks and carrying sanitizers, every individual has now become so adaptive to so called …

Anisotropic Diffusion-based Multiscale Medical Image Analysis Technique for COVID-19 Detection

T Barbu, M Luca, A Ciobanu - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The main objective of this work is to develop a novel multi-scale analysis framework for
coronavirus disease diagnosis from Chest X-Ray images. A scale-space representation is …

COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario

RG Babukarthik, D Chandramohan, D Tripathi… - Computers and …, 2022 - Elsevier
COVID-19 is an evolving respiratory transmittable disease, and it holds all daily activity
worldwide as a global pandemic. It appeared in the city of Wuhan (China) in November …

Application of Anisotropic Diffusion Filters and Convolutional Neural Network with Mobilenet Framework On X-Ray Image to Detect Pneumonia

ZS Irawaty, Z Abidin - … of Advances in Information Systems and …, 2023 - journal.unnes.ac.id
Pneumonia is the largest infectious disease that occurs in children worldwide. WHO
reported that pneumonia killed 808,694 children under five years in 2017; 15% of children …

COVID-19 identification using machine learning classifiers with GLCM features of chest x-ray images

SD Thepade, H Jha - Trends in Sciences, 2021 - tis.wu.ac.th
COVID-19 is an ongoing pandemic, and is also known by the name coronavirus. It was
originally discovered in Wuhan, China, in December, 2019. Since then, it has been …

COVID-19 detection from chest X-ray images using feature fusion and deep learning

M Ahsan, MA Based, J Haider, M Kowalski - Sensors, 2021 - mdpi.com
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …

Automated detection of COVID-19 and pneumonia diseases using data mining and transfer learning algorithms with focal loss from chest X-ray images

R Khattab, IR Abdelmaksoud, S Abdelrazek - Applied Soft Computing, 2024 - Elsevier
Pneumonia is a lung infection that produces severe inflammation, which can be caused by
viruses, bacteria, or fungi. The global occurrence of pneumonia cases has been notably …

An improved machine learnings diagnosis technique for COVID-19 pandemic using chest X-ray images

JB Awotunde, SA Ajagbe, MA Oladipupo… - … Conference on Applied …, 2021 - Springer
The pandemic produced by coronavirus2 (COVID-19) has confined the world, and avoiding
close human contact is still suggested to combat the outbreak although the vaccination …

ML Based Hybrid Approach for COVID Disease Detection Using X-Ray Images

P Gupta, A Gupta, D Puri - 2021 Sixth International Conference …, 2021 - ieeexplore.ieee.org
The COVID-19 epidemic has forced several organizations to undergo major shift, to examine
essential aspects of their economic cycles and to make use of invention to maintain activities …