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 …
Deep learning applied to automatic disease detection using chest x‐rays
DA Moses - Journal of Medical Imaging and Radiation …, 2021 - Wiley Online Library
Deep learning (DL) has shown rapid advancement and considerable promise when applied
to the automatic detection of diseases using CXRs. This is important given the widespread …
to the automatic detection of diseases using CXRs. This is important given the widespread …
COVID-19 chest X-ray classification and severity assessment using convolutional and transformer neural networks
The coronavirus pandemic started in Wuhan, China in December 2019, and put millions of
people in a difficult situation. This fatal virus spread to over 227 countries and the number of …
people in a difficult situation. This fatal virus spread to over 227 countries and the number of …
Feasibility study of multi-site split learning for privacy-preserving medical systems under data imbalance constraints in COVID-19, X-ray, and cholesterol dataset
It seems as though progressively more people are in the race to upload content, data, and
information online; and hospitals haven't neglected this trend either. Hospitals are now at the …
information online; and hospitals haven't neglected this trend either. Hospitals are now at the …
Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs
Background: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory
tract infection, caused by a newly discovered coronavirus. Its death toll is too high, and early …
tract infection, caused by a newly discovered coronavirus. Its death toll is too high, and early …
A review of recent advances in deep learning models for chest disease detection using radiography
A Ait Nasser, MA Akhloufi - Diagnostics, 2023 - mdpi.com
Chest X-ray radiography (CXR) is among the most frequently used medical imaging
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images
RT Subhalakshmi, SA Balamurugan… - Concurrent …, 2022 - journals.sagepub.com
Recently, the COVID-19 pandemic becomes increased in a drastic way, with the availability
of a limited quantity of rapid testing kits. Therefore, automated COVID-19 diagnosis models …
of a limited quantity of rapid testing kits. Therefore, automated COVID-19 diagnosis models …
Convolutional neural network-based diabetes diagnostic system via iridology technique
MN Önal, GE Güraksin, R Duman - Multimedia tools and Applications, 2023 - Springer
Iridology is a sort of complementary medicine using the patterns, colors, and other properties
of the iris to gather systemic information about a person's health status. To put it another …
of the iris to gather systemic information about a person's health status. To put it another …
[HTML][HTML] From pixels to pathology: employing computer vision to decode chest diseases in medical images
Radiology has been a pioneer in the healthcare industry's digital transformation,
incorporating digital imaging systems like picture archiving and communication system …
incorporating digital imaging systems like picture archiving and communication system …
Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms
FS Prity, N Nath, A Nath, KMA Uddin - Network Modeling Analysis in …, 2023 - Springer
The COVID-19 pandemic has had an obliterating impact on the health and well-being of the
worldwide populace. It has recently become one of the most severe and acute diseases and …
worldwide populace. It has recently become one of the most severe and acute diseases and …