Medical Image Segmentation Model Based on Local Sparse Shape Representation

Hongbing Yao; Jinwen Bian; Jiawei Cong; Yin Huang

doi:10.3788/LOP55.051011

[1] Ding K, Weng G. Robust active contours for fast image segmentation[J]. Electronics Letters, 52, 1687-1688(2016). http://ieeexplore.ieee.org/document/7575012/

[2] Lan H, Zhang L. Liver image segmentation algorithm based on the Snake model and optimized by watershed transformation[J]. Journal of Image & Graphics, 17, 873-879(2012).

[3] Wang S K, Pan J X, Chen P. Adaptive segmentation algorithm for CT image sequence based on structure continuity as prior information[J]. Laser & Optoelectronics Progress, 53, 111006(2016).

[4] Chen F, Yu H, Hu R. Shape sparse representation for joint object classification and segmentation[J]. IEEE Transactions on Image Processing, 22, 992-1004(2013). http://www.ncbi.nlm.nih.gov/pubmed/23144032/

[5] Chen Y, Thiruvenkadam S, Huang F et al. On the incorporation of shape priors into geometric active contours[C]. IEEE Workshop on Variational and Level Set Methods in Computer Vision, 145-152(2017).

[6] Chittajallu D R, Paragios N, Kakadiaris I A. An explicit shape-constrained MRF-based contour evolution method for 2-D medical image segmentation[J]. IEEE Journal of Biomedical & Health Informatics, 18, 120-129(2014). http://www.ncbi.nlm.nih.gov/pubmed/24403409

[7] Metaxas D N, Zhang S. Towards robust and effective shape prior modeling: sparse shape composition[J]. Medical Image Analysis, 16, 265-277(2012). http://europepmc.org/abstract/MED/21963296

[8] Wang G, Zhang S, Xie H et al. A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning[J]. Medical Image Analysis, 19, 176(2015). http://www.sciencedirect.com/science/article/pii/S1361841514001492

[9] Zhang S, Zhan Y, Metaxas D N. Deformable segmentation via sparse representation and dictionary learning[J]. Medical Image Analysis, 16, 1385-1396(2012). http://www.ncbi.nlm.nih.gov/pubmed/22959839

[10] Alshaikhli S D S, Yang M Y. arXiv:[J]. Rosenhahn B. Automatic 3D liver segmentation using sparse representation of global, local image information via level set formulation. Computer Science, 1508, 01521(2015).

[11] Starck J L, Elad M, Donoho D L. Image decomposition via the combination of sparse representations and a variational approach[J]. IEEE Transactions on Image Processing, 14, 1570-1582(2005). http://ieeexplore.ieee.org/document/1510691/

[12] Yao J, Yu H. Implicit sparse shape representation: a unified framework for object segmentation and recognition[J]. IEEE Signal Processing Letters, 1(2012). http://ieeexplore.ieee.org/document/6228501/

[13] Chan T F, Vese L A[M]. Active contours without edges(2001).

[14] Xie Z N, Zheng D, Chen J Y et al. A Tumor segmentation method of improved Chan-Vese model for liver cancer ablation computed tomography image[J]. Laser & Optoelectronics Progress, 54, 021702(2017).

[15] Zhao F Z, Liang H Y, Wu X L et al. Active contour segmentation model based on local and global Gaussion fitting[J]. Laser & Optoelectronics Progress, 54, 051006(2017).

[18] Dice L R. Measures of the amount of ecologic association between species[J]. Ecology, 26, 297-302(1945). http://www.jstor.org/stable/1932409

[19] Yao J C. Research on shape-prior-based variational sparse segmentation model[D]. Hangzhou: Zhejiang University(2017).