Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
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 …
Lightweight deep learning models for detecting COVID-19 from chest X-ray images
Deep learning methods have already enjoyed an unprecedented success in medical
imaging problems. Similar success has been evidenced when it comes to the detection of …
imaging problems. Similar success has been evidenced when it comes to the detection of …
A survey on adversarial deep learning robustness in medical image analysis
In the past years, deep neural networks (DNN) have become popular in many disciplines
such as computer vision (CV), natural language processing (NLP), etc. The evolution of …
such as computer vision (CV), natural language processing (NLP), etc. The evolution of …
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 …
[HTML][HTML] Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
COVID-19 was first discovered in December 2019 and has continued to rapidly spread
across countries worldwide infecting thousands and millions of people. The virus is deadly …
across countries worldwide infecting thousands and millions of people. The virus is deadly …
Deep learning for medical image cryptography: A comprehensive review
Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …
Adversarial attacks in radiology–A systematic review
Purpose The growing application of deep learning in radiology has raised concerns about
cybersecurity, particularly in relation to adversarial attacks. This study aims to systematically …
cybersecurity, particularly in relation to adversarial attacks. This study aims to systematically …
COVID-19 diagnosis-based deep learning approaches for COVIDx dataset: A preliminary survey
This chapter presents a comprehensive review of the utilization of deep learning (DL)
approaches to COVID-19 identification and lung segmentation. It also presents a review of …
approaches to COVID-19 identification and lung segmentation. It also presents a review of …
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks
As the world continues to grapple with the COVID-19 pandemic, the face mask detection
system has become an essential tool in containing the spread of the virus. However, our …
system has become an essential tool in containing the spread of the virus. However, our …