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Airway segmentation in computed tomography images can be used to analyze pulmonary diseases, however, manual segmentation is labor intensive and relies on expert knowledge.
Yushkevich, P.A., Piven, J., Cody Hazlett, H., Gimpel Smith, R., Ho, S., Gee, J.C., Gerig, G.: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage 31
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Ioffe, S., Szegedy, C.: Batch normalization: Accelerating deep network training by reducing internal covariate shift. In: International conference on machine learning. pp. 448–456. PMLR (2015)
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Chollet, F.: Xception: Deep learning with depthwise separable convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1251–1258 (2017)
2017
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2017
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2017
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Sudre, C.H., Li, W., Vercauteren, T., Ourselin, S., Jorge Cardoso, M.: Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations. In: Deep learning in medical image analysis and multimodal learning for clinical decision support, pp. 240–248. Springer (2017)
2017
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Qin, Y., Chen, M., Zheng, H., Gu, Y., Shen, M., Yang, J., Huang, X., Zhu, Y.M., Yang, G.Z.: Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 212–220. Springer (2019)
Carmo, D., Campiotti, I., Fantini, I., Rodrigues, L., Rittner, L., Lotufo, R.: Multitasking segmentation of lung and covid-19 findings in ct scans using modified efficientdet, unet and mobilenetv3 models. In: 17th International Symposium on Medical Information Processing and Analysis. vol. 12088, pp. 65–74. SPIE (2021)
2021
Later among the works it cites.
Zhang, M., Yu, X., Zhang, H., Zheng, H., Yu, W., Pan, H., Cai, X., Gu, Y.: Fda: Feature decomposition and aggregation for robust airway segmentation. In: Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, pp. 25–34. Springer (2021)
2021
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Zheng, H., Qin, Y., Gu, Y., Xie, F., Yang, J., Sun, J., Yang, G.Z.: Alleviating class-wise gradient imbalance for pulmonary airway segmentation. IEEE Transactions on Medical Imaging 40
2021
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Yu, W., Zheng, H., Zhang, M., Zhang, H., Sun, J., Yang, J.: Break: Bronchi reconstruction by geodesic transformation and skeleton embedding. In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). pp. 1–5. IEEE (2022)
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2019
Cited alongside, same era.
Tan, M., Pang, R., Le, Q.V.: Efficientdet: Scalable and efficient object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10781–10790 (2020)
2020
Cited alongside, same era.
2022
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