Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
[HTML][HTML] SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
U Muhammad, MZ Hoque, M Oussalah… - Knowledge-Based …, 2022 - Elsevier
COVID-19 is a rapidly spreading viral disease and has affected over 100 countries
worldwide. The numbers of casualties and cases of infection have escalated particularly in …
worldwide. The numbers of casualties and cases of infection have escalated particularly in …
Detection of COVID-19 using transfer learning and Grad-CAM visualization on indigenously collected X-ray dataset
The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives
since then. More than three million lives have been engulfed by this newest member of the …
since then. More than three million lives have been engulfed by this newest member of the …
COV‐DLS: Prediction of COVID‐19 from X‐Rays Using Enhanced Deep Transfer Learning Techniques
In this paper, modifications in neoteric architectures such as VGG16, VGG19, ResNet50, and
InceptionV3 are proposed for the classification of COVID‐19 using chest X‐rays. The …
InceptionV3 are proposed for the classification of COVID‐19 using chest X‐rays. The …
[HTML][HTML] NSCGCN: A novel deep GCN model to diagnosis COVID-19
Abstract Aim Corona Virus Disease 2019 (COVID-19) was a lung disease with high mortality
and was highly contagious. Early diagnosis of COVID-19 and distinguishing it from …
and was highly contagious. Early diagnosis of COVID-19 and distinguishing it from …
Convolutional Neural Network dalam Citra Medis
D Gunawan, H Setiawan - KONSTELASI: Konvergensi Teknologi dan …, 2022 - ojs.uajy.ac.id
Penggunaan deep learning dapat diaplikasikan di berbagai bidang seperti pendidikan,
bisnis, pertanian, pertambangan, internet of things (IoT), keamanan cyber, perkiraan cuaca …
bisnis, pertanian, pertambangan, internet of things (IoT), keamanan cyber, perkiraan cuaca …
X-ray digital radiography and computed tomography
MP Morigi, F Albertin - Journal of Imaging, 2022 - mdpi.com
In recent years, X-ray imaging has rapidly grown and spread beyond the medical field;
today, it plays a key role in diverse research areas. The potential and non-invasiveness of X …
today, it plays a key role in diverse research areas. The potential and non-invasiveness of X …
Diagnosis of COVID-19 from X-ray images using deep learning techniques
MMM Alghamdi, MYH Dahab - Cogent Engineering, 2022 - Taylor & Francis
In this study, we searched for the latest literature on the use of deep learning applications to
combat COVID-19 and these were identified from several search engines including IEEE …
combat COVID-19 and these were identified from several search engines including IEEE …
Herding in policy responses to coronavirus disease 2019
J Guo, X Zhang, F Gu, J Zhu, C Deng… - Science and Public …, 2023 - academic.oup.com
Governments have proposed various policy responses to contain the spread of coronavirus
disease 2019, but there is little available knowledge about how these policies are …
disease 2019, but there is little available knowledge about how these policies are …
CoV-TI-Net: transferred initialization with modified end layer for COVID-19 diagnosis
S Khanam, MRC Qazani, SK Mondal… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
This paper proposes transferred initialization with modified fully connected layers for COVID-
19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in image …
19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in image …