The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review

S Sajed, A Sanati, JE Garcia, H Rostami… - Applied Soft …, 2023 - Elsevier
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …

[PDF][PDF] Heart sound analysis using SAINet incorporating CNN and transfer learning for detecting heart diseases

S Sathyanarayanan, MK Srikanta - Journal of Wireless Mobile …, 2024 - researchgate.net
Cardiovascular disease (CVD) is the leading cause of death worldwide. Accurate and early
diagnosis of cardiovascular disease (CVD) is essential for its timely treatment and …

Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases

A Alhhazmi, A Alferidi, YA Almutawif… - Frontiers in Artificial …, 2024 - frontiersin.org
Healthcare is a topic of significant concern within the academic and business sectors. The
COVID-19 pandemic has had a considerable effect on the health of people worldwide. The …

A deep learning-based approach for predicting COVID-19 diagnosis

RM Munshi, MM Khayyat, SB Slama, MM Khayyat - Heliyon, 2024 - cell.com
This paper focuses on forecasting the total count of confirmed COVID-19 cases in Saudi
Arabia through a range of methodologies, including ARIMA, mathematical modeling, and …

Designing an improved deep learning-based model for COVID-19 recognition in chest X-ray images: a knowledge distillation approach

AR BabaAhmadi, S Khalafi, M ShariatPanahi… - Iran Journal of Computer …, 2024 - Springer
The COVID-19 pandemic has had a significant impact on society, necessitating accurate
identification and suitable medical treatment. This study addresses two primary objectives …

An investigation on transfer learning for classification of COVID-19 chest x-ray images with pre-trained convolutional-based architectures

MA Nemati, A BabaAhmadi - 2022 30th International …, 2022 - ieeexplore.ieee.org
Medical image analysis techniques have been helpful for rapidly identifying COVID-19. Due
to the difficulty of identifying critical visual features for many patients, machine learning …

[PDF][PDF] Container Load Placement for Deep Learning Application Using Whale Optimization

TOD Putra, RM Ijtihadie, T Ahmad - Journal of Wireless Mobile Networks …, 2024 - jowua.com
The deployment and scaling of deep learning applications in distributed computing
environments pose significant challenges, particularly in the context of containerized …

COVID-19 Diagnosis Based on Multi Deep Neural Networks of Chest Lung X-Ray Images

MB Saleh, WM Salama, MH Aly… - Journal of Advanced …, 2023 - semarakilmu.com.my
In this paper, increased attempts are carried out to develop the deep neural networks to
diagnose COVID-19 based on Chest X-Ray (CXR). This work introduces a new diagnostic …

Development of an intelligent system for the detection of corona virus using artificial neural network

NM Umeh, IE Onyenwe - arXiv preprint arXiv:2309.13636, 2023 - arxiv.org
This paper presents the development of an intelligent system for the detection of coronavirus
using artificial neural network. This was done after series of literature review which indicated …

Deep Learning For Classification Of Chest X-Ray Images (Covid 19)

B Samir, S Mwanahija, B Soumia, U Özkaya - arXiv preprint arXiv …, 2023 - arxiv.org
In medical practice, the contribution of information technology can be considerable. Most of
these practices include the images that medical assistance uses to identify different …