Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
In the context of global pandemic Coronavirus disease 2019 (COVID-19) that threatens life
of all human beings, it is of vital importance to achieve early detection of COVID-19 among …
of all human beings, it is of vital importance to achieve early detection of COVID-19 among …
A convolutional neural network architecture for segmentation of lung diseases using chest X-ray images
The segmentation of lungs from medical images is a critical step in the diagnosis and
treatment of lung diseases. Deep learning techniques have shown great promise in …
treatment of lung diseases. Deep learning techniques have shown great promise in …
MixNet-LD: an automated classification system for multiple lung diseases using modified MixNet model
The lungs are critical components of the respiratory system because they allow for the
exchange of oxygen and carbon dioxide within our bodies. However, a variety of conditions …
exchange of oxygen and carbon dioxide within our bodies. However, a variety of conditions …
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
The lungs are a vital organ of the human body. Malfunctioning of the lungs caused a direct
threat to life. In recent years the world has witnessed massive medical insufficiency to …
threat to life. In recent years the world has witnessed massive medical insufficiency to …
[PDF][PDF] Application with deep learning models for COVID-19 diagnosis
COVID-19 is a deadly virus that first appeared in late 2019 and spread rapidly around the
world. Understanding and classifying computed tomography images (CT) is extremely …
world. Understanding and classifying computed tomography images (CT) is extremely …
Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection
N Kamalakannan, SR Macharla, M Kanimozhi… - Computers in Biology …, 2024 - Elsevier
The heightened prevalence of respiratory disorders, particularly exacerbated by a significant
upswing in fatalities due to the novel coronavirus, underscores the critical need for early …
upswing in fatalities due to the novel coronavirus, underscores the critical need for early …
[PDF][PDF] Covid-19 Diagnosis Using a Deep Learning Ensemble Model with Chest X-Ray Images.
F Türk - Computer Systems Science & Engineering, 2023 - cdn.techscience.cn
Covid-19 is a deadly virus that is rapidly spread around the world towards the end of the
2020. The consequences of this virus are quite frightening, especially when accompanied …
2020. The consequences of this virus are quite frightening, especially when accompanied …