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Computer Assisted Surgery Volume 24, 2019 - Issue sup2: Advances in Computer-aided Medical Systems and Clinical Measurement. Guest Editors: Chengyu Liu & Lung-kwang Pan
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Articles

Lung segmentation method with dilated convolution based on VGG-16 network

Lei GengTianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China; ;School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China; View further author information
,
Siqi ZhangTianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China; ;School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China; View further author information
,
Jun TongTianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China; ;School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China; ;School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, AustraliaCorrespondence[email protected]
View further author information
&
Zhitao XiaoTianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China; ;School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China; View further author information
Pages 27-33 | Published online: 12 Aug 2019

References

  • Pulagam AR, Kande GB, Ede VKR, et al. Automated lung segmentation from HRCT scans with diffuse parenchymal lung diseases. J Digit Imaging. 2016;29:507–519.
  • Shenshen S, Linan F , Daojing L I . Applied research on automatic detection of lung nodules ROI based on Top-hat and Gabor filter. Computer Engineering and Applications. 2012; 48(4):190–192.
  • Van Rikxoort E M, De Hoop B, Viergever M A, et al. Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection. Medical Physics, 2009, 36(7):2934–2947.
  • Sluimer I , Prokop M , Van Ginneken B . Toward automated segmentation of the pathological lung in CT. IEEE Transactions on Medical Imaging, 2005, 24(8):1025–1038.
  • Chung H, Ko H, Jeon SJ, et al. Automatic lung segmentation with juxta-pleural nodule identification using active contour model and Bayesian approach. IEEE J Transl Eng Health Med. 2018;6:1800513.
  • Long J, Shelhamer E, Darrell T. Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis & Machine Intelligence. 2014;39(4):640–651.
  • Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation. International Conference on Medical image computing and computer-assisted intervention. Cham: Springer; 2015. p. 234–241.
  • Badrinarayanan V, Kendall A, Cipolla R. SegNet: a deep convolutional encoder-decoder architecture for scene segmentation. IEEE Trans Pattern Anal Mach Intell. 2017;39:2481–2495.
  • Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556. 2014.
  • Yu F, Koltun V. Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122. 2015.
  • Alom M Z, Hasan M, Yakopcic C, et al. Recurrent residual convolutional neural network based on u-net (R2U-net) for medical image segmentation. arXiv preprint arXiv:1802.06955. 2018.
  • Hariharan B, Arbelaez P, Girshick R, et al. Hypercolumns for object segmentation and fine-grained localization. Proceedings of the Computer Vision and Pattern Recognition; IEEE; 2015.6. p. 447–456.
  • Chen L C, Papandreou G, Schroff F, et al. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587. 2017.
  • Diaz K, Castaneda B. Semi-automated segmentation of the prostate gland boundary in ultrasound images using a machine learning approach. Medical Imaging 2008: Image Processing. International Society for Optics and Photonics; 2008, 6914:69144A.
  • Badiei S, Salcudean S E, Varah J, et al. Prostate segmentation in 2D ultrasound images using image warping and ellipse fitting. International Conference on Medical Image Computing and Computer-Assisted Intervention; Berlin, Heidelberg: Springer; 2006. p. 17–24.
  • Dice LR. Measures of the amount of ecologic association between species. Ecology. 1945;26:297–302.

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