A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
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 …
[HTML][HTML] Detection of pneumonia using convolutional neural networks and deep learning
P Szepesi, L Szilágyi - Biocybernetics and biomedical engineering, 2022 - Elsevier
The objective and automated detection of pneumonia represents a serious challenge in
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
[HTML][HTML] Uncertainty-driven ensembles of multi-scale deep architectures for image classification
The use of automatic systems for medical image classification has revolutionized the
diagnosis of a high number of diseases. These alternatives, which are usually based on …
diagnosis of a high number of diseases. These alternatives, which are usually based on …
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images
Deep learning‐based applications for disease detection are essential tools for experts to
effectively diagnose diseases at different stages. In this article, a new approach based on an …
effectively diagnose diseases at different stages. In this article, a new approach based on an …
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
B Gülmez - Annals of Operations Research, 2023 - Springer
The coronavirus first appeared in China in 2019, and the World Health Organization (WHO)
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
MS Başarslan, F Kayaalp - Journal of Cloud Computing, 2023 - Springer
Today, internet and social media is used by many people, both for communication and for
expressing opinions about various topics in many domains of life. Various artificial …
expressing opinions about various topics in many domains of life. Various artificial …
Sensitive sandwich-type electrochemical SARS-CoV‑2 nucleocapsid protein immunosensor
A sensitive and fast sandwich-type electrochemical SARS-CoV‑2 (COVID-19) nucleocapsid
protein immunosensor was prepared based on bismuth tungstate/bismuth sulfide composite …
protein immunosensor was prepared based on bismuth tungstate/bismuth sulfide composite …
Voltammetric sensor based on bimetallic nanocomposite for determination of favipiravir as an antiviral drug
A novel and sensitive voltammetric nanosensor was developed for the first time for trace
level monitoring of favipiravir based on gold/silver core–shell nanoparticles (Au@ Ag …
level monitoring of favipiravir based on gold/silver core–shell nanoparticles (Au@ Ag …
Comparative investigation of physical, X-ray and neutron radiation shielding properties for B2O3-MnO2-CdO borate glasses
J Wu, J Hu, Z Deng, Y Feng, H Fan, Z Wang… - Ceramics …, 2023 - Elsevier
Abstract B 2 O 3-MnO 2-CdO ternary oxide glasses with amorphous properties were
synthesised using the melt-quenching method. Structural and physical property analyses …
synthesised using the melt-quenching method. Structural and physical property analyses …