Author:
Wu Hongbing,Zhang Zhuo,Zhang Yuchen,Sun Baoshan,Zhang Xiaochen
Funder
National Student Innovation Training Program
Tianjin Research Innovation Project for Postgraduate Students
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference28 articles.
1. Lv, X., Liang, Wu., Yu, Gu., Zhang, W.L., Jing, L.I.: Detection of low dose CT pulmonary nodules based on 3D convolution neural network. Optics Precis. Eng. 26, 1211–8 (2018). https://doi.org/10.3788/OPE.20182605.1211
2. Sun, S., Bauer, C., Beichel, R.: Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach. IEEE Trans. Med. Imaging 31(2), 449–460 (2011)
3. Liu, C., Zhao, R., Pang, M.: A fully automatic segmentation algorithm for CT lung images based on randomforest. Med. Phys. 47(2), 518–529 (2019). https://doi.org/10.1002/mp.13939
4. Gao, J., Jiang, Q., Zhou, B., et al.: Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: an overview. Math. Biosci. Eng. 16(6), 6536–6561 (2019)
5. Grieser, C., Denecke, T., Rothe, J.H., et al.: Gd-EOB enhanced MRI T1-weighted 3D-GRE with and without elevated flip angle modulation for threshold-based liver volume segmentation. Acta Radiol. 56(12), 1419–1427 (2015)
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