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 …
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 …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
Diabetic retinopathy diagnosis from fundus images using stacked generalization of deep models
Diabetic retinopathy (DR) is a diabetes complication that affects the eye and can cause
damage from mild vision problems to complete blindness. It has been observed that the eye …
damage from mild vision problems to complete blindness. It has been observed that the eye …
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Since the arrival of the novel Covid-19, several types of researches have been initiated for
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
COVID-19 has crippled the world's healthcare systems, setting back the economy and taking
the lives of several people. Although potential vaccines are being tested and supplied …
the lives of several people. Although potential vaccines are being tested and supplied …
COVID-19 case recognition from chest CT images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion
In healthcare, a multitude of data is collected from medical sensors and devices, such as X-
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
Mask Detection and Social Distance Identification Using Internet of Things and Faster R‐CNN Algorithm
The drones can be used to detect a group of people who are unmasked and do not maintain
social distance. In this paper, a deep learning‐enabled drone is designed for mask detection …
social distance. In this paper, a deep learning‐enabled drone is designed for mask detection …
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 …
Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images
Around the world, more than 250 countries are affected by the COVID-19 pandemic, which is
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …