A review of deep transfer learning and recent advancements

M Iman, HR Arabnia, K Rasheed - Technologies, 2023 - mdpi.com
Deep learning has been the answer to many machine learning problems during the past two
decades. However, it comes with two significant constraints: dependency on extensive …

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images

R Rajagopal, R Karthick, P Meenalochini… - … Signal Processing and …, 2023 - Elsevier
Lung disease is a most common disease all over the world. A numerous feature extraction
with classification models were discussed previously about the lung disease, but those …

Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks

A Narin, C Kaya, Z Pamuk - Pattern Analysis and Applications, 2021 - Springer
The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread
rapidly among people living in other countries and is approaching approximately …

Transfer learning for medical images analyses: A survey

X Yu, J Wang, QQ Hong, R Teku, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …

Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID‐19 Identification in Chest X‐Ray Images

PK Shukla, JK Sandhu, A Ahirwar… - Mathematical …, 2021 - Wiley Online Library
COVID‐19 is a new disease, caused by the novel coronavirus SARS‐CoV‐2, that was firstly
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …

COVID-19 detection using deep learning algorithm on chest X-ray images

S Akter, FMJM Shamrat, S Chakraborty, A Karim… - Biology, 2021 - mdpi.com
Simple Summary The study proposes an automated deep learning-based classification
model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate …

An efficient CNN model for COVID‐19 disease detection based on x‐ray image classification

AA Reshi, F Rustam, A Mehmood, A Alhossan… - …, 2021 - Wiley Online Library
Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in
particular have attained successful results in medical image analysis and classification. A …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Review on the evaluation and development of artificial intelligence for COVID-19 containment

MM Hasan, MU Islam, MJ Sadeq, WK Fung, J Uddin - Sensors, 2023 - mdpi.com
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …