Data augmentation for medical imaging: A systematic literature review
Abstract Recent advances in Deep Learning have largely benefited from larger and more
diverse training sets. However, collecting large datasets for medical imaging is still a …
diverse training sets. However, collecting large datasets for medical imaging is still a …
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] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …
Efficient deep learning approach for augmented detection of Coronavirus disease
The new Coronavirus disease 2019 (COVID-19) is rapidly affecting the world population
with statistics quickly falling out of date. Due to the limited availability of annotated …
with statistics quickly falling out of date. Due to the limited availability of annotated …
A multitier deep learning model for arrhythmia detection
An electrocardiograph (ECG) is employed as a primary tool for diagnosing cardiovascular
diseases (CVDs). ECG signals provide a framework to probe the underlying properties and …
diseases (CVDs). ECG signals provide a framework to probe the underlying properties and …
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 …
Myocardial infarction detection based on deep neural network on imbalanced data
Myocardial infarction (MI) is an acute interruption of blood flow to the heart, which causes the
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
Secure health monitoring communication systems based on IoT and cloud computing for medical emergency applications
Smart health surveillance technology has attracted wide attention between patients and
professionals or specialists to provide early detection of critical abnormal situations without …
professionals or specialists to provide early detection of critical abnormal situations without …
Measuring and preventing COVID‐19 using the SIR model and machine learning in smart health care
SA Alanazi, MM Kamruzzaman… - Journal of healthcare …, 2020 - Wiley Online Library
COVID‐19 presents an urgent global challenge because of its contagious nature, frequently
changing characteristics, and the lack of a vaccine or effective medicines. A model for …
changing characteristics, and the lack of a vaccine or effective medicines. A model for …