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This paper considers the task of thorax disease classification on chest X-ray images.
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P. Liskowski and K. Krawiec, “Segmenting retinal blood vessels with¡? pub _newline?¿ deep neural networks,” IEEE transactions on medical imaging , vol. 35, no. 11, pp. 2369–2380, 2016
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2016
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
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2016
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2016
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2016
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2016
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2016
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Y. Yuan, M. Chao, and Y.-C. Lo, “Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance,” IEEE Transactions on Medical Imaging , 2017
2017
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H. Fu, Y. Xu, S. Lin, X. Zhang, D. W. K. Wong, J. Liu, A. F. Frangi, M. Baskaran, and T. Aung, “Segmentation and quantification for angle-closure glaucoma assessment in anterior segment oct,” IEEE transactions on medical imaging , vol. 36, no. 9, pp. 1930–1938, 2017
2017
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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H. Fu, J. Cheng, Y. Xu, D. W. K. Wong, J. Liu, and X. Cao, “Joint optic disc and cup segmentation based on multi-label deep network and polar transformation,” IEEE Transactions on Medical Imaging , 2018
2018
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