Leveraging data science to combat COVID-19: A comprehensive review
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …
A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
[HTML][HTML] A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Nowadays, automatic disease detection has become a crucial issue in medical science due
to rapid population growth. An automatic disease detection framework assists doctors in the …
to rapid population growth. An automatic disease detection framework assists doctors in the …
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …
YH Bhosale, KS Patnaik - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
Jaringan Syaraf Tiruan Perambatan Balik untuk Klasifikasi Covid-19 Berbasis Tekstur Menggunakan Orde Pertama Berdasarkan Citra Chest X-Ray
Covid-2019 pertama kali muncul di kota Wuhan, Cina pada Desember 2019, kemudian
menyebar dengan cepat ke seluruh dunia dan menjadi pandemi. Pandemi Covid-19 telah …
menyebar dengan cepat ke seluruh dunia dan menjadi pandemi. Pandemi Covid-19 telah …
Artificial intelligence-driven assessment of radiological images for COVID-19
Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
Covid-19 imaging tools: How big data is big?
KC Santosh, S Ghosh - Journal of Medical Systems, 2021 - Springer
In this paper, considering year 2020 and Covid-19, we analyze medical imaging tools and
their performance scores in accordance with the dataset size and their complexity. For this …
their performance scores in accordance with the dataset size and their complexity. For this …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …
An analysis review of detection coronavirus disease 2019 (COVID-19) based on biosensor application
Timely detection and diagnosis are essentially needed to guide outbreak measures and
infection control. It is vital to improve healthcare quality in public places, markets, schools …
infection control. It is vital to improve healthcare quality in public places, markets, schools …