Automatic 3D liver location and segmentation via convolutional neural network and graph cut-Reference-Cited by-同舟云学术

Automatic 3D liver location and segmentation via convolutional neural network and graph cut

Published:2016-09-07 Issue:2 Volume:12 Page:171-182
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Lu Fang,Wu Fa,Hu Peijun,Peng Zhiyi,Kong Dexing^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11548-016-1467-3.pdf

Reference46 articles.

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3. Al-Shaikhli S, Yang M, Rosenhahn B (2015) Automatic 3D liver segmentation using sparse representation of global and local image information via level set formulation. http://arxiv.org/abs/1508.01521

4. Beichel R, Bornik A, Bauer C, Sorantin E (2012) Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods. Med Phys 39(3):1361–1373

5. Bland J, Altman D (2010) Statistical methods for assessing agreement between two methods of clinical measurement. Int J Nurs Stud 47:931–936

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