Author:
Wang Yixin,Ding Jinshun,Fang Weiqing,Cao Jian
Reference14 articles.
1. Faizal Khan, Z., Al Sayyari, A.S., Quadri, S.U.: Automated segmentation of lung images using textural echo state neural networks. In: International Conference on Informatics, Health and Technology, pp. 1–5 (2017)
2. Soltaninejad, S., Cheng, I., Basu, A.: Robust lung segmentation combining adaptive concave hulls with active contours. In: IEEE International Conference on Systems, Man, and Cybernetics (2016)
3. Zhao, Y., Bock, G.H.D., Vliegenthart, R., et al.: Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume. Eur. Radiol. 22(10), 2076–2084 (2012)
4. Kumar, S.A., Ramesh, J., Vanathi, P.T., et al.: Robust and automated lung nodule diagnosis from ct images based on fuzzy systems. In: International Conference on Process Automation, Control and Computing, pp. 1–6. IEEE (2011)
5. Jacobs, C., van Rikxoort, E.M., Twelmann, T., et al.: Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Med. Image Anal. 18(2), 374–384 (2014)
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