SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images
Liu, Han, Wang, Lei, Nan, Yandong, Jin, Faguang, Wang, Qi, Pu, Jiantao·2019·Computerized Medical Imaging and Graphics
Cited by (135)
Items 101–135 of 135
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- A Review of AI-Based Diagnosis of Multiple Thoracic Diseases in Chest RadiographyRoshan Shetty, Prasad Narasimha Sarappadi, K. M. Sudarshan, Raveendra Gudodagi · 2023 · Springer eBooks
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- Gender and age detection assist convolutional neural networks in classification of thorax diseasesMumtaz Ali, Riaz Ali · 2021 · PeerJ Computer Science
- Intermediate Learning-Based Attention Regulated Densenet for Diagnosis of Covid-19Roshan Shetty, Sarappadi Narasimha Prasad, D V Manjunatha, V. Veeraprathap, Vasudev Shahapur, M S Shwetha · 2023 · Indian Journal of Science and Technology
- Cyber Bullying Detection Using Deep LearningSai Pavan Goud · 2024 · International Journal for Research in Applied Science and Engineering Technology
- Noisy image segmentation utilizing entropy-adaptive fractional differential-driven active contoursShang Zhuge, Zhiheng Zhou, Wenlue Zhou, Jiangfeng Wu, Ming Deng, Ming Dai · 2024 · Multimedia Tools and Applications
- Medical Transformer With Mix Mask Generation for Thorax Disease ClassificationZiyi Liu, Zengmao Wang, Bo Du · 2025 · IEEE Transactions on Multimedia
- Disease Classification of Chest X-Ray using CNNTejasvi Raj Pant, Ravi Kiran Aryal, Tribikram Panthi, Milan Maharjan, Basanta Joshi · 2021 · International Conference on Computing, Communication and Automation
- Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification.Uday Kamal, Mohammad Zunaed, Nusrat Binta Nizam, Taufiq Hasan · 2021 · arXiv (Cornell University)
- COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning ModelSadi Mohammad Siddiquee, Nusrat Binta Nizam, Mahbuba Shirin, Mohammed Imamul Hassan Bhuiyan, Taufiq Hasan · 2022 · Research Square
- Conflictos éticos entre autonomía y aprendizaje profundoJosé Darío Sánchez López, J. Cambil Martín, Mercedes Villegas Calvo, Francisco Luque Martínez · 2019 · Journal of Healthcare Quality Research
- Peer Review #2 of "A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset (v0.1)"2021 · PeerJ Computer Science
- Peer Review #1 of "A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset (v0.2)"2021 · PeerJ Computer Science
- Peer Review #2 of "A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset (v0.2)"2021 · PeerJ Computer Science
- Peer Review #3 of "A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset (v0.1)"2021 · PeerJ Computer Science
- Peer Review #1 of "A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset (v0.1)"2021 · PeerJ Computer Science
- Comparison of Deep Learning Approaches in the Classification of the Chest X-RaySerap Karagöl, Kübra Nur Akpınar, Secil Genc · 2022 · Journal of Engineering Research
- Survey on deep learning techniques for thorax disease classification taskFan Yang, Huizhu Jia, Xiaodong Xie · 2023 · Applied and Computational Engineering
- Joined CNN and transformer network for thorax disease classificationRuihua Zhang, Wenkai Chen, Wenjia Liu · 2023 · International Conference on Artificial Intelligence and Computer Science (AICS)
- Evaluating Local Explainable AI Techniques for the Classification of Chest X-Ray ImagesEnrico Sciacca, Claudio Estatico, Damiano Verda, Enrico Ferrari · 2024 · Communications in computer and information science
- Pneumonia Diagnosis Through Deep Learning: ResNet50v2 Model ImplementationYufis Azhar, Wahyu Priyo Wicaksono, Zamah Sari, Wahyu Priyo Wicaksono · 2024 · Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
- EMS-Resnet-DA Model With Perception Attention Mechanism for Effective Tissue Classification in Emphysema DiagnosisT. Manikandan, Vishali Ms · 2024 · Research Square
- Exploring Recent Developments in Radiographic Chest Disease Detection Through Deep Learning ModelsA. Beena Godbin, S. Graceline Jasmine, S.K. Narendranathan · 2025 · Algorithms for intelligent systems
- An Effective Model for Thoracic Disease Diagnosis in Diverse Healthcare EnvironmentsNeella Swapna, Banoth Samya · 2025 · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
- Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical DataK H Lee, Haseeb Ali, I-Jung Liu, Wen‐Te Liu, Rachel Chien, Ying-Ying Chen, Yen-Ling Chen, Ping-Chung Pao, Pei-Shan Luo, Kuan-Yuan Chen et al. · 2026 · Journal of Imaging Informatics in Medicine
- Efficient SqueezeViT: A lightweight vision transformer framework for chest X-ray image classificationAbhinav Maurya, Ashish Lohia, Chirag, Jyoti Yadav, Bharti Panjwani, Vijay Mohan · 2026 · Scientific Reports
- Adaptive collaborative feature fusion and shape-aware optimization for multi-scale chest lesion detectionYi Yuan, Chengkang Liu, Qingwen Feng, Li Zhang, Ke Yang, Shengyue Cheng · 2026 · Scientific Reports
- Enhanced Pneumonia Detection in Chest X-Rays via KPCA and Multi-kernel SVMZhixing Tan, Wenquan Cui, 譚 康融, Shozo Tokinaga · 2026 · Communications in computer and information science
- A Classification Network With Coordinate and Class‐Specific Residual Attention for Accurate Detection of Heart Failure‐Related Findings in Chest X‐RaysYi Li, Dengao Li, Jumin Zhao, Liangquan Yan, Xiaole Fan · 2026 · International Journal of Imaging Systems and Technology
- ChexFusionNet: A unified attention-enhanced deep learning framework for chest X-ray analysis via multimodal fusionNafeesa Shahid, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li · 2026 · Computer Methods and Programs in Biomedicine Update
- Hyper-DSCNet: Integrating radiographic details and syndromic context via hypergraph-enhanced dual-stream learning for chest X-ray lesion detectionYu Wang, Lin Jin, Peiyin Chen, Yanwu Xu, Chenglin Liu · 2026 · Expert Systems with Applications