Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review
Sudden spurting of Corona virus disease (COVID-19) has put the whole healthcare system
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
[HTML][HTML] AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
Background The inability to test at scale has become humanity's Achille's heel in the
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …
COVID-19 detection from chest X-ray images using feature fusion and deep learning
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm
A Karacı - Neural Computing and Applications, 2022 - Springer
X-ray images are an easily accessible, fast, and inexpensive method of diagnosing COVID-
19, widely used in health centers around the world. In places where there is a shortage of …
19, widely used in health centers around the world. In places where there is a shortage of …
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
Deep learning-based approach for detecting COVID-19 in chest X-rays
ME Sahin - Biomedical Signal Processing and Control, 2022 - Elsevier
Abstract Today, 2019 Coronavirus (COVID-19) infections are a major health concern
worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
[HTML][HTML] Artificial intelligence in clinical care amidst COVID-19 pandemic: a systematic review
The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in more than 3
million deaths so far. Improving early screening, diagnosis and prognosis of the disease are …
million deaths so far. Improving early screening, diagnosis and prognosis of the disease are …
[PDF][PDF] Implementation of machine learning techniques for the classification of lung x-ray images used to detect covid-19 in humans
MM Mijwil - Iraqi Journal of Science, 2021 - iasj.net
Abstract COVID-19 (Coronavirus disease-2019), commonly called Coronavirus or CoV, is a
dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread …
dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread …
Detecting coronavirus from chest X-rays using transfer learning
Coronavirus disease (COVID-19) is an illness caused by a novel coronavirus family. One of
the practical examinations for COVID-19 is chest radiography. COVID-19 infected patients …
the practical examinations for COVID-19 is chest radiography. COVID-19 infected patients …