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Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms.
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Automatic airway analysis on multidetector computed tomography in cystic fibrosis: correlation with pulmonary function testing
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Densely connected convolutional networks, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4700–4708
Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q., 2017 · 2017
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3d convolutional neural networks with graph refinement for airway segmentation using incomplete data labels, in: International workshop on machine learning in medical imaging, Springer. pp. 141–149
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Kuo, W., de Bruijne, M., Petersen, J., Nasserinejad, K., Ozturk, H., Chen, Y., Perez-Rovira, A., Tiddens, H.A., 2017 · 2017
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Attention is all you need
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A ct-based automated algorithm for airway segmentation using freeze-and-grow propagation and deep learning
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The medical segmentation decathlon
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Metrics reloaded: Pitfalls and recommendations for image analysis validation
Maier-Hein, L., Reinke, A., Christodoulou, E., Glocker, B., Godau, P., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M.A., et al., 2022 · 2022
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Fuzzy attention neural network to tackle discontinuity in airway segmentation
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Ltsp: long-term slice propagation for accurate airway segmentation
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Structure and position-aware graph neural network for airway labeling
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