[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 …
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …
time polymerase chain reaction. However, this method has several drawbacks, including …
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 …
Impact of COVID-19 on 'Start Smart, Then Focus' Antimicrobial Stewardship at One NHS Foundation Trust in England Prior to and during the Pandemic
R Abdelsalam Elshenawy, N Umaru, Z Aslanpour - COVID, 2024 - mdpi.com
Background: Antimicrobial resistance (AMR), a major global public health threat that has
caused 1.2 million deaths, calls for immediate action. Antimicrobial stewardship (AMS) …
caused 1.2 million deaths, calls for immediate action. Antimicrobial stewardship (AMS) …
A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling
COVID-19 is an infectious disease caused by the deadly virus SARS-CoV-2 that affects the
lung of the patient. Different symptoms, including fever, muscle pain and respiratory …
lung of the patient. Different symptoms, including fever, muscle pain and respiratory …
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data …
The utilization of lung sounds to diagnose lung diseases using respiratory sound features
has significantly increased in the past few years. The Digital Stethoscope data has been …
has significantly increased in the past few years. The Digital Stethoscope data has been …
COVID-ConvNet: A convolutional neural network classifier for diagnosing COVID-19 infection
IAL Alablani, MJF Alenazi - Diagnostics, 2023 - mdpi.com
The novel coronavirus (COVID-19) pandemic still has a significant impact on the worldwide
population's health and well-being. Effective patient screening, including radiological …
population's health and well-being. Effective patient screening, including radiological …