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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    Kai Chen, Yu Liu, Xuqi Wang, Shanwen Zhang, Chuan Zhang · 2022 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  2. Novel XRayNet framework for lung disease detection and infection region identification
    Nitha V.R., Vinod Chandra S S · 2022 · Research Square
  3. A Review of AI-Based Diagnosis of Multiple Thoracic Diseases in Chest Radiography
    Roshan Shetty, Prasad Narasimha Sarappadi, K. M. Sudarshan, Raveendra Gudodagi · 2023 · Springer eBooks
  4. Refining explainability in chest X-ray diagnostics with lesion-aware hybrid transformer and local similarity of integrated re-normalized attention map
    Ho Kyung Shin, Deok Heon Lee, Hanna Jung, Woo-Jeoung Nam · 2026 · Biomedical Signal Processing and Control
  5. CausalCompNet: Causal intervention meets vision-language priors for robust CXR diagnosis
    Mengdi Liu, Qi Li, Rihao Chang, Zibo Xu, Chunxia Zhou, Weizhi Nie · 2026 · Biomedical Signal Processing and Control
  6. Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs
    Feng Li, Samuel G. Armato, Roger M. Engelmann, Thomas Rhines, Jennie Crosby, Lan Li, Maryellen Lissak Giger, Heber MacMahon · 2021 · Journal of Imaging Informatics in Medicine
  7. Gender and age detection assist convolutional neural networks in classification of thorax diseases
    Mumtaz Ali, Riaz Ali · 2021 · PeerJ Computer Science
  8. Intermediate Learning-Based Attention Regulated Densenet for Diagnosis of Covid-19
    Roshan Shetty, Sarappadi Narasimha Prasad, D V Manjunatha, V. Veeraprathap, Vasudev Shahapur, M S Shwetha · 2023 · Indian Journal of Science and Technology
  9. Cyber Bullying Detection Using Deep Learning
    Sai Pavan Goud · 2024 · International Journal for Research in Applied Science and Engineering Technology
  10. Noisy image segmentation utilizing entropy-adaptive fractional differential-driven active contours
    Shang Zhuge, Zhiheng Zhou, Wenlue Zhou, Jiangfeng Wu, Ming Deng, Ming Dai · 2024 · Multimedia Tools and Applications
  11. Medical Transformer With Mix Mask Generation for Thorax Disease Classification
    Ziyi Liu, Zengmao Wang, Bo Du · 2025 · IEEE Transactions on Multimedia
  12. Disease Classification of Chest X-Ray using CNN
    Tejasvi Raj Pant, Ravi Kiran Aryal, Tribikram Panthi, Milan Maharjan, Basanta Joshi · 2021 · International Conference on Computing, Communication and Automation
  13. 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)
  14. COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning Model
    Sadi Mohammad Siddiquee, Nusrat Binta Nizam, Mahbuba Shirin, Mohammed Imamul Hassan Bhuiyan, Taufiq Hasan · 2022 · Research Square
  15. Conflictos éticos entre autonomía y aprendizaje profundo
    José Darío Sánchez López, J. Cambil Martín, Mercedes Villegas Calvo, Francisco Luque Martínez · 2019 · Journal of Healthcare Quality Research
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. Comparison of Deep Learning Approaches in the Classification of the Chest X-Ray
    Serap Karagöl, Kübra Nur Akpınar, Secil Genc · 2022 · Journal of Engineering Research
  22. Survey on deep learning techniques for thorax disease classification task
    Fan Yang, Huizhu Jia, Xiaodong Xie · 2023 · Applied and Computational Engineering
  23. Joined CNN and transformer network for thorax disease classification
    Ruihua Zhang, Wenkai Chen, Wenjia Liu · 2023 · International Conference on Artificial Intelligence and Computer Science (AICS)
  24. Evaluating Local Explainable AI Techniques for the Classification of Chest X-Ray Images
    Enrico Sciacca, Claudio Estatico, Damiano Verda, Enrico Ferrari · 2024 · Communications in computer and information science
  25. Pneumonia Diagnosis Through Deep Learning: ResNet50v2 Model Implementation
    Yufis Azhar, Wahyu Priyo Wicaksono, Zamah Sari, Wahyu Priyo Wicaksono · 2024 · Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
  26. EMS-Resnet-DA Model With Perception Attention Mechanism for Effective Tissue Classification in Emphysema Diagnosis
    T. Manikandan, Vishali Ms · 2024 · Research Square
  27. Exploring Recent Developments in Radiographic Chest Disease Detection Through Deep Learning Models
    A. Beena Godbin, S. Graceline Jasmine, S.K. Narendranathan · 2025 · Algorithms for intelligent systems
  28. An Effective Model for Thoracic Disease Diagnosis in Diverse Healthcare Environments
    Neella Swapna, Banoth Samya · 2025 · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
  29. Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data
    K 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
  30. Efficient SqueezeViT: A lightweight vision transformer framework for chest X-ray image classification
    Abhinav Maurya, Ashish Lohia, Chirag, Jyoti Yadav, Bharti Panjwani, Vijay Mohan · 2026 · Scientific Reports
  31. Adaptive collaborative feature fusion and shape-aware optimization for multi-scale chest lesion detection
    Yi Yuan, Chengkang Liu, Qingwen Feng, Li Zhang, Ke Yang, Shengyue Cheng · 2026 · Scientific Reports
  32. Enhanced Pneumonia Detection in Chest X-Rays via KPCA and Multi-kernel SVM
    Zhixing Tan, Wenquan Cui, 譚 康融, Shozo Tokinaga · 2026 · Communications in computer and information science
  33. A Classification Network With Coordinate and Class‐Specific Residual Attention for Accurate Detection of Heart Failure‐Related Findings in Chest X‐Rays
    Yi Li, Dengao Li, Jumin Zhao, Liangquan Yan, Xiaole Fan · 2026 · International Journal of Imaging Systems and Technology
  34. ChexFusionNet: A unified attention-enhanced deep learning framework for chest X-ray analysis via multimodal fusion
    Nafeesa Shahid, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li · 2026 · Computer Methods and Programs in Biomedicine Update
  35. Hyper-DSCNet: Integrating radiographic details and syndromic context via hypergraph-enhanced dual-stream learning for chest X-ray lesion detection
    Yu Wang, Lin Jin, Peiyin Chen, Yanwu Xu, Chenglin Liu · 2026 · Expert Systems with Applications