UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection
Abstract The COVID-19 (Coronavirus disease 2019) pandemic has become a major global
threat to human health and well-being. Thus, the development of computer-aided detection …
threat to human health and well-being. Thus, the development of computer-aided detection …
Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT scan and X-ray image …
Recently, various methods have been developed to identify COVID-19 cases, such as PCR
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
Multi-level feature extraction for automated land cover classification using deep cnn with long short-term memory network
S Patel, N Ganatra, R Patel - 2022 6th International …, 2022 - ieeexplore.ieee.org
In remote sensing and satellite imagery, classification of land cover usage are the vital tasks
that help to understand about the physical aspects of the surface of the Earth and its …
that help to understand about the physical aspects of the surface of the Earth and its …
Deep learning with convolutional neural networks: from theory to practice
In the changing era of AI, Deep Learning plays a vital role. It is basically a part of Machine
Learning. The main attribute of Deep Learning is that its models works without any human …
Learning. The main attribute of Deep Learning is that its models works without any human …
COVID-19 Chest X-Ray Classification Using Compact Convolutional Transformer
The outbreak of Covid-19 in 2019 had a significant impact worldwide, causing long-term
breathing problems in many affected individuals. Some people may experience white spots …
breathing problems in many affected individuals. Some people may experience white spots …
COVID-19 Chest X-Ray Classification Using Residual Network
In 2019, the Covid-19 pandemic has spread across the globe and causing significant
disruptions to daily life. Those who have tested positive for Covid-19 may experience long …
disruptions to daily life. Those who have tested positive for Covid-19 may experience long …
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
The COVID19 pandemic has had a detrimental impact on the health and welfare of the
worlds population. An important strategy in the fight against COVID19 is the effective …
worlds population. An important strategy in the fight against COVID19 is the effective …
[PDF][PDF] Detection of COVID-19 from chest X-ray images using concatenated deep learning neural networks
TP SV, A Jeyasingh - Int J Cur Res Rev| Vol, 2022 - researchgate.net
Introduction: The severity of COVID-19 disease can be viewed from the massive death rate
recorded worldwide so far. The majority of increase in death rate is due to late identification …
recorded worldwide so far. The majority of increase in death rate is due to late identification …
AI-Driven Prioritization and Detection of COVID-19 Cases in Smart City: An Integration of X-Ray Imaging and ResNet-18 Machine Learning Model
In the contemporary era, smart cities are embracing advanced computing paradigms to
address various challenges, healthcare being of prime importance. This chapter focuses on …
address various challenges, healthcare being of prime importance. This chapter focuses on …
A privacy-preserving approach to effectively utilise distributed data for medical disease detection
A Kareem - 2024 - uobrep.openrepository.com
Pneumonia is one of the fatal diseases that causes the death of around 4 million people
yearly. Previously, several researches have been done to detect pneumonia using state-of …
yearly. Previously, several researches have been done to detect pneumonia using state-of …