A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning

S Atasever, N Azginoglu, DS Terzi, R Terzi - Clinical imaging, 2023 - Elsevier
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 …

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 …

[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 …

[HTML][HTML] Uncertainty-driven ensembles of multi-scale deep architectures for image classification

JE Arco, A Ortiz, J Ramirez, FJ Martinez-Murcia… - Information …, 2023 - Elsevier
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 …

Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images

S Ben Atitallah, M Driss, W Boulila… - … Journal of Imaging …, 2022 - Wiley Online Library
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 …

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 …

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 …

Sensitive sandwich-type electrochemical SARS-CoV‑2 nucleocapsid protein immunosensor

C Karaman, BB Yola, O Karaman, N Atar, İ Polat… - Microchimica Acta, 2021 - Springer
A sensitive and fast sandwich-type electrochemical SARS-CoV‑2 (COVID-19) nucleocapsid
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

M Mehmandoust, Y Khoshnavaz, M Tuzen, N Erk - Microchimica Acta, 2021 - Springer
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 …

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 …