Chest X-ray analysis empowered with deep learning: A systematic review

D Meedeniya, H Kumarasinghe, S Kolonne… - Applied Soft …, 2022 - Elsevier
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …

Pneumonia detection in chest X-ray images using an ensemble of deep learning models

R Kundu, R Das, ZW Geem, GT Han, R Sarkar - PloS one, 2021 - journals.plos.org
Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many
individuals, especially in developing and underdeveloped nations, where high levels of …

On the analyses of medical images using traditional machine learning techniques and convolutional neural networks

S Iqbal, A N. Qureshi, J Li, T Mahmood - Archives of Computational …, 2023 - Springer
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

Multi-disease prediction based on deep learning: a survey

S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

Deep-pneumonia framework using deep learning models based on chest X-ray images

NM Elshennawy, DM Ibrahim - Diagnostics, 2020 - mdpi.com
Pneumonia is a contagious disease that causes ulcers of the lungs, and is one of the main
reasons for death among children and the elderly in the world. Several deep learning …

Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN

R Karthik, R Menaka, M Hariharan - Applied Soft Computing, 2021 - Elsevier
COVID-19 is a deadly viral infection that has brought a significant threat to human lives.
Automatic diagnosis of COVID-19 from medical imaging enables precise medication, helps …

[HTML][HTML] IEViT: An enhanced vision transformer architecture for chest X-ray image classification

GI Okolo, S Katsigiannis, N Ramzan - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective: Chest X-ray imaging is a relatively cheap and
accessible diagnostic tool that can assist in the diagnosis of various conditions, including …

ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network

M Nahiduzzaman, MR Islam, R Hassan - Expert Systems with Applications, 2023 - Elsevier
In the last few decades, several epidemic diseases have been introduced. In some cases,
doctors and medical physicians are facing difficulties in identifying these diseases correctly …

A review of recent advances in deep learning models for chest disease detection using radiography

A Ait Nasser, MA Akhloufi - Diagnostics, 2023 - mdpi.com
Chest X-ray radiography (CXR) is among the most frequently used medical imaging
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …

A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images

M Nahiduzzaman, MOF Goni, MS Anower… - IEEE …, 2021 - ieeexplore.ieee.org
In this era of COVID19, proper diagnosis and treatment of pneumonia are very important.
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …