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 …
Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
[HTML][HTML] Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Novel Coronavirus 2019 disease or COVID-19 is a viral disease caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification
Deep learning (DL) has shown great success in the field of medical image analysis. In the
wake of the current pandemic situation of SARS-CoV-2, a few pioneering works based on …
wake of the current pandemic situation of SARS-CoV-2, a few pioneering works based on …
Lung-GANs: unsupervised representation learning for lung disease classification using chest CT and X-ray images
Lung diseases are a tremendous challenge to the health and life of people globally,
accounting for 5 out of 30 most common causes of death. Early diagnosis is crucial to help in …
accounting for 5 out of 30 most common causes of death. Early diagnosis is crucial to help in …
X‐ray equipped with artificial intelligence: changing the COVID‐19 diagnostic paradigm during the pandemic
Purpose. Due to the excessive use of raw materials in diagnostic tools and equipment
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …
COVID-19 detection from lung CT-scan images using transfer learning approach
A Halder, B Datta - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Since the onset of 2020, the spread of coronavirus disease (COVID-19) has rapidly
accelerated worldwide into a state of severe pandemic. COVID-19 has infected more than …
accelerated worldwide into a state of severe pandemic. COVID-19 has infected more than …
Deep learning applied to automatic disease detection using chest x‐rays
DA Moses - Journal of Medical Imaging and Radiation …, 2021 - Wiley Online Library
Deep learning (DL) has shown rapid advancement and considerable promise when applied
to the automatic detection of diseases using CXRs. This is important given the widespread …
to the automatic detection of diseases using CXRs. This is important given the widespread …
Deep learning for COVID-19 screening using chest x-rays in 2020: A systematic review
KC Santosh, S Ghosh, D GhoshRoy - International Journal of …, 2022 - World Scientific
Artificial Intelligence (AI) has promoted countless contributions in the field of healthcare and
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …