[HTML][HTML] Detection of pneumonia using convolutional neural networks and deep learning
P Szepesi, L Szilágyi - Biocybernetics and biomedical engineering, 2022 - Elsevier
The objective and automated detection of pneumonia represents a serious challenge in
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
Segmentation-based classification deep learning model embedded with explainable AI for COVID-19 detection in chest X-ray scans
Background and Motivation: COVID-19 has resulted in a massive loss of life during the last
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
Four types of multiclass frameworks for pneumonia classification and its validation in X-ray scans using seven types of deep learning artificial intelligence models
Background and Motivation: The novel coronavirus causing COVID-19 is exceptionally
contagious, highly mutative, decimating human health and life, as well as the global …
contagious, highly mutative, decimating human health and life, as well as the global …
Using a deep learning model to explore the impact of clinical data on COVID-19 diagnosis using chest X-ray
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread
threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential …
threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential …
A novel lightweight approach to COVID-19 diagnostics based on chest X-ray images
Background: This paper presents a novel lightweight approach based on machine learning
methods supporting COVID-19 diagnostics based on X-ray images. The presented schema …
methods supporting COVID-19 diagnostics based on X-ray images. The presented schema …
[HTML][HTML] Comparative imaging findings among different primary betacoronaviruses
W Sharp, I Jang, MJ Diaz, LC Tou… - Polish Journal of …, 2022 - ncbi.nlm.nih.gov
Purpose Coronaviruses (CoV) are single-stranded RNA viruses that transmit from animal
species to humans, causing a threat to global health. We aim to summarize common …
species to humans, causing a threat to global health. We aim to summarize common …
Stavovi o mentalnom zdravlju i nošenje sa stresom tijekom COVID-19 pandemije u studenata Medicinskog fakulteta u Splitu
E Kamšigovski - 2022 - repozitorij.svkst.unist.hr
Cilj istraživanja: Cilj ovog istraživanja je ispitati povezanost iskustva poremećaja mentalnog
zdravlja (PMZ) s mehanizmima nošenja sa stresom i otpornosti studenata Medicinskog …
zdravlja (PMZ) s mehanizmima nošenja sa stresom i otpornosti studenata Medicinskog …
Convolutional Neural Network based COVID-19 Recognition from X-Ray Image
To halt extreme spread of Coronavirus (COVID-19), proper detection is the need of the hour.
The number of physicians is negligible to serve the immense number of COVID-19 affected …
The number of physicians is negligible to serve the immense number of COVID-19 affected …
Detection and Prevention of Virus Infection
Y Wang, B Shen - Translational Informatics: Prevention and Treatment of …, 2022 - Springer
The pathogenic mechanism of viral infection is a complex process involving viral mutation,
viral integration, and various aspects of the interaction between the viral genome and the …
viral integration, and various aspects of the interaction between the viral genome and the …
[PDF][PDF] Comparison of diagnostic accuracy of the AI system with human readers in the diagnosis of portable chest x-rays during the COVID-19 pandemic
Background: Evaluating the performance of the available machine learning software is
fundamental to ensure trustworthiness and improve automated diagnosis. This study …
fundamental to ensure trustworthiness and improve automated diagnosis. This study …