Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images
Author:
Affiliation:
1. University of Porto,INESC-TEC and Faculty of Engineering,Porto,Portugal,4200-465
Funder
ERDF - European Regional Development Fund, through the Programa Operacional Regional do Norte
FCT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866947/9866899/09867115.pdf?arnumber=9867115
Reference22 articles.
1. Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders
2. Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders
3. Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision
4. Hybrid deep learning for detecting lung diseases from X-ray images
5. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images;Artificial Intelligence in Medicine;2024-01
2. Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27
3. Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance;Computerized Medical Imaging and Graphics;2023-09
4. CDT-CAD: Context-Aware Deformable Transformers for End-to-End Chest Abnormality Detection on X-Ray Images;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023
5. Chest X-ray Image Classification: A Causal Perspective;Lecture Notes in Computer Science;2023
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