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 …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
This paper proposes a multichannel deep learning approach for lung disease detection
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
[Retracted] An AI‐Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders
M Abdel Hameed, M Hassaballah… - Computational …, 2022 - Wiley Online Library
Smart monitoring and assisted living systems for cognitive health assessment play a central
role in assessment of individuals' health conditions. Autistic children suffer from some …
role in assessment of individuals' health conditions. Autistic children suffer from some …
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
Covmnet–deep learning model for classifying coronavirus (covid-19)
Diagnosing COVID-19, current pandemic disease using Chest X-ray images is widely used
to evaluate the lung disorders. As the spread of the disease is enormous many medical …
to evaluate the lung disorders. As the spread of the disease is enormous many medical …
[HTML][HTML] An evaluation of lightweight deep learning techniques in medical imaging for high precision COVID-19 diagnostics
Timely and rapid diagnoses are core to informing on optimum interventions that curb the
spread of COVID-19. The use of medical images such as chest X-rays and CTs has been …
spread of COVID-19. The use of medical images such as chest X-rays and CTs has been …
LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images
Abstract According to the World Health Organization, an estimate of more than five million
infections and 355,000 deaths have been recorded worldwide since the emergence of the …
infections and 355,000 deaths have been recorded worldwide since the emergence of the …
CAD system for intelligent grading of COVID-19 severity with green computing and low carbon footprint analysis
IS Farahat, W Aladrousy, M Elhoseny, AE Tolba… - Expert Systems with …, 2023 - Elsevier
Abstract The Coronavirus Disease (COVID-19) caused a lot of mortality. The high mortality
rate occurred because of the physicians' wrong or late identification of COVID-19 severity …
rate occurred because of the physicians' wrong or late identification of COVID-19 severity …
[PDF][PDF] Gender recognition from unconstrained selfie images: a convolutional neural network approach
Human gender recognition is an essential demographic tool. This is reflected in forensic
science, surveillance systems and targeted marketing applications. This research was …
science, surveillance systems and targeted marketing applications. This research was …