Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Chest X-ray analysis empowered with deep learning: A systematic review
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …
particularly plays an important role in the diagnosis of medical conditions such as …
[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
ML Huang, YC Liao - Computers in Biology and Medicine, 2022 - Elsevier
Background and objectives The traditional method of detecting COVID-19 disease mainly
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery
With the advancement of global civilisation, monitoring and managing dumpsites have
become essential parts of environmental governance in various countries. Dumpsite …
become essential parts of environmental governance in various countries. Dumpsite …
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
NA Baghdadi, A Malki, SF Abdelaliem… - Computers in biology …, 2022 - Elsevier
Researchers have developed more intelligent, highly responsive, and efficient detection
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)
S Thakur, A Kumar - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Covid-19 (Coronavirus Disease-2019) is the most recent coronavirus-related
disease that has been announced as a pandemic by the World Health Organization (WHO) …
disease that has been announced as a pandemic by the World Health Organization (WHO) …
Application of machine learning in diagnosis of COVID-19 through X-ray and CT images: a scoping review
H Mohammad-Rahimi, M Nadimi… - Frontiers in …, 2021 - frontiersin.org
Coronavirus disease, first detected in late 2019 (COVID-19), has spread fast throughout the
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …
A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
An improved VGG16 model for pneumonia image classification
ZP Jiang, YY Liu, ZE Shao, KW Huang - Applied Sciences, 2021 - mdpi.com
Image recognition has been applied to many fields, but it is relatively rarely applied to
medical images. Recent significant deep learning progress for image recognition has raised …
medical images. Recent significant deep learning progress for image recognition has raised …