Recent advances and clinical applications of deep learning in medical image analysis
Deep learning has received extensive research interest in developing new medical image
processing algorithms, and deep learning based models have been remarkably successful …
processing algorithms, and deep learning based models have been remarkably successful …
[HTML][HTML] 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 …
[HTML][HTML] Self-supervised learning methods and applications in medical imaging analysis: A survey
The scarcity of high-quality annotated medical imaging datasets is a major problem that
collides with machine learning applications in the field of medical imaging analysis and …
collides with machine learning applications in the field of medical imaging analysis and …
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
M Shorfuzzaman, MS Hossain - Pattern recognition, 2021 - Elsevier
Various AI functionalities such as pattern recognition and prediction can effectively be used
to diagnose (recognize) and predict coronavirus disease 2019 (COVID-19) infections and …
to diagnose (recognize) and predict coronavirus disease 2019 (COVID-19) infections and …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
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 …
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier
Abstract Corona virus disease-2019 (COVID-19) is a pandemic caused by novel
coronavirus. COVID-19 is spreading rapidly throughout the world. The gold standard for …
coronavirus. COVID-19 is spreading rapidly throughout the world. The gold standard for …
Segmentation information with attention integration for classification of breast tumor in ultrasound image
Y Luo, Q Huang, X Li - Pattern Recognition, 2022 - Elsevier
Breast cancer is one of the most common forms of cancer among women worldwide. The
development of computer-aided diagnosis (CAD) technology based on ultrasound imaging …
development of computer-aided diagnosis (CAD) technology based on ultrasound imaging …
[HTML][HTML] Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and …
Abstract Background Coronavirus disease 2019 (COVID-19) is very contagious. Cases
appear faster than the available Polymerase Chain Reaction test kits in many countries …
appear faster than the available Polymerase Chain Reaction test kits in many countries …
[HTML][HTML] 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 …