Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Hundreds of millions of people worldwide have recently been infected by the novel
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models
E Hassan - Neural Computing and Applications, 2024 - Springer
Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …
impacting the economic stability of some countries that heavily depend on coffee production …
[HTML][HTML] Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN …
Around the world, several lung diseases such as pneumonia, cardiomegaly, and
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …
Advancing task recognition towards artificial limbs control with ReliefF-based deep neural network extreme learning
In the rapidly advancing field of biomedical engineering, effective real-time control of
artificial limbs is a pressing research concern. Addressing this, the current study introduces a …
artificial limbs is a pressing research concern. Addressing this, the current study introduces a …
Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images
Computed tomography (CT) scans, or radiographic images, were used to aid in the early
diagnosis of patients and detect normal and abnormal lung function in the human chest …
diagnosis of patients and detect normal and abnormal lung function in the human chest …
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration
M Abdel-Basset, R Mohamed, I Alrashdi, KM Sallam… - Journal of Big Data, 2024 - Springer
Abstract Chest diseases, especially COVID-19, have quickly spread throughout the world
and caused many deaths. Finding a rapid and accurate diagnostic tool was indispensable to …
and caused many deaths. Finding a rapid and accurate diagnostic tool was indispensable to …
DBM-ViT: A multiscale features fusion algorithm for health status detection in CXR/CT lungs images
Y Hao, C Zhang, X Li - Biomedical Signal Processing and Control, 2024 - Elsevier
COVID-19 is a severe acute respiratory syndrome caused by SARS-CoV-2. It is highly
contagious and spreads rapidly around the world. Although reverse transcription …
contagious and spreads rapidly around the world. Although reverse transcription …
Synthetic graphic well log generation using an enhanced deep learning workflow: imbalanced multiclass data, sample size, and scalability challenges
The present study introduces an enhanced deep learning (DL) workflow based on transfer
learning (TL) for producing high-resolution synthetic graphic well logs (SGWLs). To examine …
learning (TL) for producing high-resolution synthetic graphic well logs (SGWLs). To examine …
IRCM‐Caps: An X‐ray image detection method for COVID‐19
S Qiu, J Ma, Z Ma - The Clinical Respiratory Journal, 2023 - Wiley Online Library
Objective COVID‐19 is ravaging the world, but traditional reverse transcription‐polymerase
reaction (RT‐PCR) tests are time‐consuming and have a high false‐negative rate and lack …
reaction (RT‐PCR) tests are time‐consuming and have a high false‐negative rate and lack …