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 …

Artificial intelligence techniques to predict the airway disorders illness: a systematic review

A Koul, RK Bawa, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …

A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications

ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …

Covid-cxnet: Detecting covid-19 in frontal chest x-ray images using deep learning

A Haghanifar, MM Majdabadi, Y Choi… - Multimedia tools and …, 2022 - Springer
One of the primary clinical observations for screening the novel coronavirus is capturing a
chest x-ray image. In most patients, a chest x-ray contains abnormalities, such as …

Pneumonia detection from chest X-ray images based on convolutional neural network

D Zhang, F Ren, Y Li, L Na, Y Ma - Electronics, 2021 - mdpi.com
Pneumonia has caused significant deaths worldwide, and it is a challenging task to detect
many lung diseases such as like atelectasis, cardiomegaly, lung cancer, etc., often due to …

Review on pneumonia image detection: A machine learning approach

A Kareem, H Liu, P Sant - Human-Centric Intelligent Systems, 2022 - Springer
This paper surveys and examines how computer-aided techniques can be deployed in
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …

An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID‐19 Diagnosis

SKB Sangeetha, MS Kumar, DK… - … Methods in Medicine, 2022 - Wiley Online Library
As a result of the COVID‐19 outbreak, which has put the world in an unprecedented
predicament, thousands of people have died. Data from structured and unstructured sources …

Classification of COVID‐19 and Pneumonia Using Deep Transfer Learning

M Mahin, S Tonmoy, R Islam, T Tazin… - Journal of …, 2021 - Wiley Online Library
The World Health Organization (WHO) recognized COVID‐19 as the cause of a global
pandemic in 2019. COVID‐19 is caused by SARS‐CoV‐2, which was identified in China in …

Based on improved deep convolutional neural network model pneumonia image classification

L Kong, J Cheng - PloS one, 2021 - journals.plos.org
Pneumonia remains the leading infectious cause of death in children under the age of five,
killing about 700,000 children each year and affecting 7% of the world's population. X-ray …

Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia

P Naveen, B Diwan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Chest radiograph (x-ray) are primarily used to diagnose pneumonia However, x-ray
examination is a difficult operation, even for a qualified radiologist and there is a need to …