Since December 2019, the appearance of an outbreak of a novel coronavirus disease namely COVID-19 and which is previously known as 2019-nCoV. COVID-19 is a type of …
Due to false negative results of the real-time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
RD SM, BS Rose, S Akshitha… - 2023 International …, 2023 - ieeexplore.ieee.org
COVID-19 pandemic posed a threat to productivity, health, and human life. During pandemic, the rise in COVID-19 cases demands high number of tests of RT-PCR, Swab …
JP Oguntoye, OO Awodoye, JA Oladunjoye… - LAUTECH Journal of …, 2023 - laujet.com
Abstract Machine learning is emerging as a unique powerful method to improve the diagnosis and prognosis of several multifactorial diseases, including COVID-19. The COVID …
DF Eljamassi, AY Maghari - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Recently, the virus (COVID-19) has spread widely throughout the world and has led to the examination of large numbers of suspected cases using standard COVID-19 tests and has …
NH Hammadah, NR Das, M Nayak… - … in Advances in Power …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) algorithms can revolutionize the entire background of the healthcare system and have been used widely to identify diseases efficiently by classifying the image …
T Chakravorti, VK Addala… - 2021 6th international …, 2021 - ieeexplore.ieee.org
In 2019 the novel Corona virus which is called COVID 19 was originated in China and now it has spread all over the world. So far more than 73M people got affected all over the world …
According to studies, covid-19 affects the respiratory tract along with the lungs. Thus it is critical to efficiently detect and diagnose COVID-19 and the non-COVID ie …
There has been a surge in biomedical imaging technologies with the recent advancement of deep learning. It is being used for diagnosis from X-ray, computed tomography (CT) scan …