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Chest X-ray is one of the most accessible medical imaging technique for diagnosis of multiple diseases.
A brief introduction to boosting
R. E. Schapire · 1999
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Bayes optimal multilabel classification via probabilistic classifier chains
W. Cheng, E. Hüllermeier, and K. J. Dembczynski · 2010
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Classifier chains for multi-label classification
J. Read, B. Pfahringer, G. Holmes, and E. Frank · 2011
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Deep convolutional ranking for multilabel image annotation
Y. Gong, Y. Jia, T. Leung, A. Toshev, and S. Ioffe · 2013
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Large-scale multi-label text classification - revisiting neural networks
J. Nam, J. Kim, I. Gurevych, and J. Fürnkranz · 2013
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Multi-stage contextual deep learning for pedestrian detection
X. Zeng, W. Ouyang, and X. Wang · 2013
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Improving Pairwise Ranking for Multi-label Image Classification
Y. Li, Y. Song, and J. Luo · 2017
Cited alongside, same era.
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
P. Rajpurkar, J. Irvin, K. Zhu, B. Yang, H. Mehta, T. Duan, D. Ding, A. Bagul, C. Langlotz, K. Shpanskaya, M. P. Lungren, and A. Y. Ng · 2017
Cited alongside, same era.
Densely Connected Convolutional Networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. Van Der Maaten
Cited in the paper.
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, and R. M. Summers · 2017
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Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao, E. Poblenz, D. Dagunts, B. Covington, D. Bernard, and K. Lyman · 2017
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Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao, E. Poblenz, D. Dagunts, B. Covington, D. Bernard, and K. Lyman · 2017
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Learning Deep Latent Spaces for Multi-Label Classification
C.-K. Yeh, W.-C. Wu, W.-J. Ko, and Y.-C. F. Wang · 2017
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