Author:
Eapen Maya,Korah Reeba,Geetha G.
Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Foruzan A.H. et al.: A knowledge-based technique for liver segmentation in CT data. Comput. Med. Imaging Graph. 33, 567–587 (2009)
2. Peng J. et al.: Liver segmentation with constrained convex variational model. Pattern Recognit. Lett. 43, 81–88 (2014)
3. Chen, Y., et al.: The domain knowledge based graph-cut model for liver CT segmentation. Biomed. Signal Proc. Control, 7 591–598 (2012)
4. Lee, J.; Kim, N., et al.: Efficient liver segmentation exploiting level-set speed images with 2.5d shape propagation. In: Proceedings of MICCAI Workshop 3-D Segmentat. Clinic: A Grand, Challenge, pp. 189–196 (2007)
5. Dawant, B.M., et.al.: Semi-automatic segmentation of the liver and its evaluation on the MICCAI 2007 grand challenge data set. In: MICCAI Workshop on 3D Segmentat. Clinic: A Grand Challenge, pp. 215–221 (2007)
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献