Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …
[HTML][HTML] Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning
Combating the COVID-19 pandemic has emerged as one of the most promising issues in
global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right …
global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right …
Application of mathematical modeling in prediction of COVID-19 transmission dynamics
The entire world has been affected by the outbreak of COVID-19 since early 2020. Human
carriers are largely the spreaders of this new disease, and it spreads much faster compared …
carriers are largely the spreaders of this new disease, and it spreads much faster compared …
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its
outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused …
outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused …
Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images
J Liu, W Sun, X Zhao, J Zhao, Z Jiang - Biomedical Signal Processing and …, 2022 - Elsevier
The widespread of highly infectious disease, ie, COVID-19, raises serious concerns
regarding public health, and poses significant threats to the economy and society. In this …
regarding public health, and poses significant threats to the economy and society. In this …
Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs
A Elazab, M Abd Elfattah, Y Zhang - Applied Soft Computing, 2022 - Elsevier
The novel Coronavirus disease 2019 (COVID-2019) has become a global pandemic and
affected almost all aspects of our daily life. The total number of positive COVID-2019 cases …
affected almost all aspects of our daily life. The total number of positive COVID-2019 cases …
Is biological rhythm associated with the mortality of COVID-19?
The high mortality rate of COVID-19 has led to extensive research to determine the factors
related to this disease. Most of these studies investigated all patients (with or without …
related to this disease. Most of these studies investigated all patients (with or without …
An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR
BACKGROUND: With the emergence of continuously mutating variants of coronavirus, it is
urgent to develop a deep learning model for automatic COVID-19 diagnosis at early stages …
urgent to develop a deep learning model for automatic COVID-19 diagnosis at early stages …
A Self-attentive Meta-learning Approach for Image-Based Few-Shot Disease Detection
A Ouahab, O Ben-Ahmed… - MICCAI Workshop on …, 2022 - Springer
In this paper, we propose a few-shot medical images classification framework for low
prevalence disease detection. The proposed method leans to transfer medical knowledge …
prevalence disease detection. The proposed method leans to transfer medical knowledge …
Morphologic identification of clinically encountered moulds using a residual neural network
R Jing, XL Yin, XL Xie, HQ Lian, J Li, G Zhang… - Frontiers in …, 2022 - frontiersin.org
The use of morphology to diagnose invasive mould infections in China still faces substantial
challenges, which often leads to delayed diagnosis or misdiagnosis. We developed a model …
challenges, which often leads to delayed diagnosis or misdiagnosis. We developed a model …