Convolutional neural networks in medical image understanding: a survey
Imaging techniques are used to capture anomalies of the human body. The captured images
must be understood for diagnosis, prognosis and treatment planning of the anomalies …
must be understood for diagnosis, prognosis and treatment planning of the anomalies …
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
COVID-19 detection from chest X-ray images using feature fusion and deep learning
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
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 …
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
Abstract Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly
spreading around the globe. As a result, rapid and precise identification of COVID-19 …
spreading around the globe. As a result, rapid and precise identification of COVID-19 …
[PDF][PDF] Design of accurate classification of COVID-19 disease in X-ray images using deep learning approach
JIZ Chen - Journal of ISMAC, 2021 - scholar.archive.org
COVID-19 appears to be having a devastating influence on world health and wellbeing.
Moreover, the COVID-19 confirmed cases have recently increased to over 10 million …
Moreover, the COVID-19 confirmed cases have recently increased to over 10 million …
COVID-19 infection map generation and detection from chest X-ray images
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus
disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus …
disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus …
[HTML][HTML] Facial recognition system for people with and without face mask in times of the covid-19 pandemic
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the
use of a face mask as a mandatory biosafety measure. This has caused problems in current …
use of a face mask as a mandatory biosafety measure. This has caused problems in current …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …