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 …

Diagnosis and multi-classification of lung diseases in CXR images using optimized deep convolutional neural network

S Ashwini, JR Arunkumar, RT Prabu, NH Singh… - Soft Computing, 2024 - Springer
A deep learning (DL) architecture is proposed in this study for the multi-class classification of
COVID-19, lung opacity, lung cancer, tuberculosis (TB), and pneumonia. There are two …

Hybrid technique for lung disease classification based on machine learning and optimization using X-ray images

N Poloju, A Rajaram - Multimedia Tools and Applications, 2024 - Springer
The remarkable growth of machine learning has shown that it can perform at an expert level
in a number of difficult tasks, such as medical decision-making and image processing. The …

Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence

A Koul, RK Bawa, Y Kumar - Multimedia Tools and Applications, 2024 - Springer
Airway diseases cause significant challenges while diagnosing it accurately as well as
timely. In current years, the combination of deep learning techniques with Explainable …

[HTML][HTML] Lung and Colon Cancer Detection Using a Deep AI Model

N Shahadat, R Lama, A Nguyen - Cancers, 2024 - mdpi.com
Lung and colon cancers are among the leading causes of cancer-related mortality
worldwide. Early and accurate detection of these cancers is crucial for effective treatment …

Exploring Medical Diagnosis Using Vision Transformer And CNN

S Kalokhe, F Khan, S Shaikh… - 2024 2nd DMIHER …, 2024 - ieeexplore.ieee.org
This research aims to conduct a comparative analysis of Vision Transformer (ViT) and
Convolutional Neural Network (CNN) models for detecting four prevalent diseases: eye …

Revolutionizing Medical Diagnostics: Exploring Creativity in AI for Biomedical Image Analysis

P Krishnamoorthy, D Swetha, PS Geetha… - 2024 International …, 2024 - ieeexplore.ieee.org
Biomedical image analysis plays a crucial role in the early and accurate diagnosis of
diseases, significantly impacting patient outcomes. This study presents an innovative …

[HTML][HTML] High-accuracy lung disease classification via logistic regression and advanced feature extraction techniques

S Kaur, S Gupta, D Gupta, S Juneja, A Nauman… - Egyptian Informatics …, 2025 - Elsevier
Lung disease diagnosis through medical imaging integrated with machine learning has
seen significant advancements. This study investigates the optimization of lung disease …

Performance analysis and classification of lung cancer types using machine learning

MPR Urs, GNKS Babu - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Lung cancer is a serious health risk, yet doctors are still having difficulty diagnosing it. The
precise etiology of cancer and a thorough treatment plan are still unclear despite continued …

[HTML][HTML] Advancing Pulmonary Nodule Detection with ARSGNet: EfficientNet and Transformer Synergy

M Oumlaz, Y Oumlaz, A Oukaira, AZ Benelhaouare… - Electronics, 2024 - mdpi.com
Lung cancer, the leading cause of cancer-related deaths globally, presents significant
challenges in early detection and diagnosis. The effective analysis of pulmonary medical …