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 …
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
Realizing an effective COVID-19 diagnosis system based on machine learning and IOT in smart hospital environment
The aim of this study is to propose a model based on machine learning (ML) and Internet of
Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was …
Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was …
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Literature survey shows that convolutional neural network (CNN)-based pretrained models
have been largely used for CoronaVirus Disease 2019 (COVID-19) classification using …
have been largely used for CoronaVirus Disease 2019 (COVID-19) classification using …
Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach
The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
[HTML][HTML] Fundus-deepnet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images
Detecting multiple ocular diseases in fundus images is crucial in ophthalmic diagnosis. This
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …
Classification of COVID-19 electrocardiograms by using hexaxial feature map** and deep learning
Abstract Background Coronavirus disease 2019 (COVID-19) has become a pandemic since
its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day …
its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day …
[HTML][HTML] COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images
The term COVID-19 is an abbreviation of Coronavirus 2019, which is considered a global
pandemic that threatens the lives of millions of people. Early detection of the disease offers …
pandemic that threatens the lives of millions of people. Early detection of the disease offers …
Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …