Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
[HTML][HTML] Utilisation of deep learning for COVID-19 diagnosis
The COVID-19 pandemic that began in 2019 has resulted in millions of deaths worldwide.
Over this period, the economic and healthcare consequences of COVID-19 infection in …
Over this period, the economic and healthcare consequences of COVID-19 infection in …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
xViTCOS: explainable vision transformer based COVID-19 screening using radiography
Objective: Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19)
across the globe has pushed the health care system in many countries to the verge of …
across the globe has pushed the health care system in many countries to the verge of …
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
A Heidari, S Toumaj, NJ Navimipour, M Unal - Computers in Biology and …, 2022 - Elsevier
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
Diagnosis of COVID-19 using machine learning and deep learning: a review
Background: This paper provides a systematic review of the application of Artificial
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia
F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …