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References from Interpretable multi-class lung disease classification from chest x-ray images using attention-enhanced deep learning. Local targets link to admitted publications; unresolved targets remain external evidence.
A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases
10.1088/2057-1976/adf3b8 · 2025 · External reference
Radiomic features based automatic classification of CT lung findings for COVID-19 patients
10.1088/2057-1976/ad9157 · 2024 · External reference
Machine learning augmented interpretation of chest x-rays: a systematic review
10.3390/diagnostics13040743 · 2023 · External reference
A review of recent advances in deep learning models for chest disease detection using radiography
10.3390/diagnostics13010159 · 2023 · External reference
Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest x-ray images and clinical parameters
10.1186/s12890-024-02945-7 · 2024 · External reference
Classification of chest x-ray images by incorporation of medical domain knowledge into operation branch networks
10.1186/s12880-023-01019-0 · 2023 · External reference
Label correlation transformer for automated chest x-ray diagnosis with reliable interpretability
10.1007/s11547-023-01647-0 · 2023 · External reference
Checklist for artificial intelligence in medical imaging (CLAIM): 2024 update
10.1148/ryai.240300 · 2024 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Explainable hybrid transformer for multi-classification of lung disease using chest x-rays
10.1038/s41598-025-90607-x · 2025 · External reference
Deep learning in multi-class lung diseases’ classification on chest x-ray images
10.3390/diagnostics12010012 · 2022 · External reference
Computer-aided diagnostic for classifying chest x-ray images using deep ensemble learning
10.1186/s12880-022-00904-4 · 2022 · External reference
Multi-class deep learning architecture for classifying lung diseases from chest x-ray and CT images
10.1038/s41598-023-46147-3 · 2023 · External reference
A study on The reliability Of visual XAI methods for x-ray images
10.3233/shti230416 · 2023 · External reference
Automated thorax disease diagnosis using multi-branch residual attention network
10.1038/s41598-024-62813-6 · 2024 · External reference
Automated classification of chest x-rays: a deep learning approach with attention mechanisms
10.1186/s12880-025-01604-5 · 2025 · External reference
Attention-enhanced architecture for improved pneumonia detection in chest x-ray images
10.1186/s12880-023-01177-1 · 2024 · External reference
A deep learning-based algorithm for pulmonary tuberculosis detection in chest radiography
10.1038/s41598-024-65703-z · 2024 · External reference
Classification of pulmonary diseases from chest radiographs using deep transfer learning
10.1371/journal.pone.0316929 · 2025 · External reference
Benchmarking saliency methods for chest x-ray interpretation
10.1038/s42256-022-00536-x · 2022 · External reference
Current status and future directions of explainable artificial intelligence in medical imaging
10.1016/j.ejrad.2024.111884 · 2025 · External reference
Attention-based saliency maps improve interpretability of pneumothorax classification
10.1148/ryai.220187 · 2023 · External reference
Attention-enhanced architecture for improved pneumonia detection in chest x-ray images
10.1186/s12880-023-01177-1 · 2023 · External reference
Generalizable diagnosis of chest radiographs through attention-guided decomposition of images utilizing self-consistency loss
10.1016/j.compbiomed.2024.108922 · 2024 · External reference
Optimization of vision transformer-based detection of lung diseases from chest x-ray images
10.1186/s12911-024-02591-3 · 2024 · External reference
Research and implementation of multi-disease diagnosis on chest x-ray based on vision transformer
10.21037/qims-23-1280 · 2024 · External reference
Optimizing pulmonary chest x-ray classification with stacked feature ensemble and swin transformer integration
10.1088/2057-1976/ad8c46 · 2024 · External reference
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images
10.1186/s12880-024-01238-z · 2024 · External reference
CBAM: convolutional block attention module
10.1007/978-3-030-01234-2_1 · External reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · 2016 · External reference
Densely connected convolutional networks
10.1109/cvpr.2017.243 · 2017 · External reference
MobileNetV2: inverted residuals and linear bottlenecks
10.1109/cvpr.2018.00474 · 2018 · External reference
A fine tuned EfficientNet-B0 convolutional neural network for accurate and efficient classification of apple leaf diseases
10.1038/s41598-025-04479-2 · 2025 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2020 · External reference
Statistical comparisons of classifiers over multiple data sets
2006 · External reference
Tuning the hyperparameter in ADAM optimizer
10.1007/s10489-026-07177-2 · 2026 · External reference
Approximate statistical tests for comparing supervised classification learning algorithms
10.1162/089976698300017197 · 1998 · External reference
Grad-CAM: visual explanations from deep networks via gradient-based localization
10.1007/s11263-019-01228-7 · 2016 · External reference
Score-CAM: score-weighted visual explanations for convolutional neural networks
10.1109/cvprw50498.2020.00020 · 2019 · External reference
Deep learning in multi-class lung diseases’ classification on chest x-ray IMAGES
10.3390/diagnostics12040915 · 2022 · External reference
Deep learning-based classification of lung diseases in x-ray images using the VGG19 architecture
10.1109/dasa68193.2025.11498955 · 2025 · External reference
Smart-LungNet for Lung Disease Classification
10.38124/ijisrt/25dec139 · 2025 · External reference
Transfer learning-driven deep learning model for lung disease diagnosis
10.1109/otcon69332.2026.11629823 · 2026 · External reference
A U-Net framework using differential equations for enhanced computer vision in lung disease diagnosis
10.22034/cmde.2024.64290.2905 · 2026 · External reference
Secure pulmonary diagnosis using transformer-based approach to x-ray classification with KL divergence optimization
10.3389/fmed.2025.1716066 · 2025 · External reference
Hybrid quantum-classical convolutional neural networks for multiclass lung x-ray image classification
10.1016/j.jrras.2026.102165 · 2026 · External reference
WHO announces updated guidance on the systematic screening for tuberculosis
2026 · External reference
Use of artificial intelligence in triaging of chest radiographs to reduce radiologists’ workload
10.1007/s00330-023-10124-1 · 2023 · External reference
Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload
10.1007/s00330-024-10794-5 · 2024 · External reference
Artificial intelligence and clinical decision support for radiologists and referring providers
10.1016/j.jacr.2019.06.010 · 2019 · External reference
Smart chest x-ray worklist prioritization using artificial intelligence: a clinical workflow simulation
10.1007/s00330-020-07480-7 · 2020 · External reference
Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation
10.1007/s00330-024-10676-w · 2024 · External reference
Grad-CAM: visual explanations from deep networks via gradient-based localization
10.1109/iccv.2017.74 · 2017 · External reference