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Deep transfer learning approaches to predict glaucoma, cataract, choroidal neovascularization, diabetic macular edema, drusen and healthy eyes: an experimental …
Artificial intelligence (AI) has lately witnessed an age of tremendous expansion across
several industries, including healthcare. In recent years, substantial advancements in AI …
several industries, including healthcare. In recent years, substantial advancements in AI …
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
ABSTRACT The Coronavirus (COVID-19) outbreak in December 2019 has drastically
affected humans worldwide, creating a health crisis that has infected millions of lives and …
affected humans worldwide, creating a health crisis that has infected millions of lives and …
Screening of COVID-19 suspected subjects using multi-crossover genetic algorithm based dense convolutional neural network
Fast and accurate screening of novel coronavirus (COVID-19) suspected subjects plays a
vital role in timely quarantine and medical care. Deep transfer learning-based screening …
vital role in timely quarantine and medical care. Deep transfer learning-based screening …
Real‐Time Implementation of AI‐Based Face Mask Detection and Social Distancing Measuring System for COVID‐19 Prevention
Since the infectious coronavirus disease (COVID‐19) was first reported in Wuhan, it has
become a public health problem in China and even around the world. This pandemic is …
become a public health problem in China and even around the world. This pandemic is …
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 …
Understanding basic principles of Artificial Intelligence: a practical guide for intensivists
Background and aim: Artificial intelligence was born to allow computers to learn and control
their environment, trying to imitate the human brain structure by simulating its biological …
their environment, trying to imitate the human brain structure by simulating its biological …
Smart flood detection with AI and blockchain integration in Saudi Arabia using drones
Global warming and climate change are responsible for many disasters. Floods pose a
serious risk and require immediate management and strategies for optimal response times …
serious risk and require immediate management and strategies for optimal response times …
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet
Abstract The 2019 novel coronavirus (COVID-19) originating from China, has spread rapidly
among people living in other countries. According to the World Health Organization (WHO) …
among people living in other countries. According to the World Health Organization (WHO) …
Diagnosis of coronavirus disease from chest X-ray images using DenseNet-169 architecture
Abstract The coronavirus disease (COVID-19) is a very contagious and dangerous disease
that affects the human respiratory system. Early detection of this disease is very crucial to …
that affects the human respiratory system. Early detection of this disease is very crucial to …