Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts
Accurate segmentation of liver from abdominal CT scans is critical for computer-assisted diagnosis and therapy. Despite many years of research, automatic liver segmentation remains a challenging task. In this paper, a novel method was proposed for automatic delineation of liver on CT volume images u...
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| Published in | Computational and mathematical methods in medicine Vol. 2016; no. 2016; pp. 1 - 14 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1748-670X 1748-6718 1748-6718 |
| DOI | 10.1155/2016/9093721 |
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| Abstract | Accurate segmentation of liver from abdominal CT scans is critical for computer-assisted diagnosis and therapy. Despite many years of research, automatic liver segmentation remains a challenging task. In this paper, a novel method was proposed for automatic delineation of liver on CT volume images using supervoxel-based graph cuts. To extract the liver volume of interest (VOI), the region of abdomen was firstly determined based on maximum intensity projection (MIP) and thresholding methods. Then, the patient-specific liver VOI was extracted from the region of abdomen by using a histogram-based adaptive thresholding method and morphological operations. The supervoxels of the liver VOI were generated using the simple linear iterative clustering (SLIC) method. The foreground/background seeds for graph cuts were generated on the largest liver slice, and the graph cuts algorithm was applied to the VOI supervoxels. Thirty abdominal CT images were used to evaluate the accuracy and efficiency of the proposed algorithm. Experimental results show that the proposed method can detect the liver accurately with significant reduction of processing time, especially when dealing with diseased liver cases. |
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| AbstractList | Accurate segmentation of liver from abdominal CT scans is critical for computer-assisted diagnosis and therapy. Despite many years of research, automatic liver segmentation remains a challenging task. In this paper, a novel method was proposed for automatic delineation of liver on CT volume images using supervoxel-based graph cuts. To extract the liver volume of interest (VOI), the region of abdomen was firstly determined based on maximum intensity projection (MIP) and thresholding methods. Then, the patient-specific liver VOI was extracted from the region of abdomen by using a histogram-based adaptive thresholding method and morphological operations. The supervoxels of the liver VOI were generated using the simple linear iterative clustering (SLIC) method. The foreground/background seeds for graph cuts were generated on the largest liver slice, and the graph cuts algorithm was applied to the VOI supervoxels. Thirty abdominal CT images were used to evaluate the accuracy and efficiency of the proposed algorithm. Experimental results show that the proposed method can detect the liver accurately with significant reduction of processing time, especially when dealing with diseased liver cases. |
| Author | Zhou, Zhuhuang Zhang, Yanhua Wu, Shuicai Wu, Weiwei |
| AuthorAffiliation | 1 College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China 2 College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China |
| AuthorAffiliation_xml | – name: 2 College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China – name: 1 College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China |
| Author_xml | – sequence: 1 fullname: Zhang, Yanhua – sequence: 2 fullname: Wu, Shuicai – sequence: 3 fullname: Zhou, Zhuhuang – sequence: 4 fullname: Wu, Weiwei |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27127536$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/tip.2015.2481326 10.1007/s11263-006-7934-5 10.1007/s11548-009-0293-2 10.1007/s00330-007-0587-0 10.1016/j.ijleo.2013.10.049 10.1109/tbme.2010.2056369 10.1145/1015706.1015720 10.1016/j.compbiomed.2008.04.006 10.1007/s10462-011-9220-3 10.1118/1.3395579 10.1118/1.3682171 10.1148/radiol.2403050850 10.1109/tpami.2012.120 10.4236/jcc.2014.22001 10.1148/rg.263055186 10.1155/2013/958398 10.1109/tpami.2004.60 10.1155/2014/182909 10.1007/s11548-015-1201-6 10.1109/tsmc.1979.4310076 10.1118/1.3590374 10.1016/j.artmed.2008.07.020 10.1118/1.4866837 10.1016/j.bspc.2012.04.005 10.1002/ijc.29210 10.1155/2014/198015 10.1118/1.4934834 10.1109/79.543975 10.1007/s11760-011-0223-y 10.1145/1015706.1015719 10.1016/j.compmedimag.2015.01.006 10.1118/1.3284530 10.1109/tmi.2009.2013851 |
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| Copyright | Copyright © 2016 Weiwei Wu et al. Copyright © 2016 Weiwei Wu et al. 2016 |
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| References | (23) 2012; 7 (20) 2015; 24 (1) 2015; 136 (3) 2006; 240 (8) 2014; 2014 (7) 2013; 7 Zhao Y. Zan Y. Wang X. Li G. Fuzzy C-means clustering-based multilayer perceptron neural network for liver CT images automatic segmentation Proceedings of the Chinese Control and Decision Conference (CCDC '10) May 2010 Xuzhou, China 3423 3427 10.1109/ccdc.2010.5498558 2-s2.0-77955406531 Li C. Wang X. Eberl S. Fulham M. Yin Y. Feng D. Fully automated liver segmentation for low- and high-contrast ct volumes based on probabilistic atlases Proceedings of the 17th IEEE International Conference on Image Processing (ICIP '10) September 2010 Hong Kong 1733 1736 10.1109/icip.2010.5654434 2-s2.0-78651252814 (37) 1996; 13 (29) 2012; 34 (36) 2009; 4 (33) 1979; 9 Priyadarsini S. Selvathi D. Survey on segmentation of liver from CT images Proceedings of the IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT '12) August 2012 Ramanathapuram, India 234 238 10.1109/icaccct.2012.6320777 2-s2.0-84869405542 Massoptier L. Casciaro S. Fully automatic liver segmentation through graph-cut technique Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '07) August 2007 Lyon, France 5243 5246 10.1109/iembs.2007.4353524 2-s2.0-57649149659 (31) 2004; 26 (38) 2004; 23 (42) 2015; 10 (40) 2007; 17 (24) 2015; 42 Lucchi A. Smith K. Achanta R. Lepetit V. Fua P. A fully automated approach to segmentation of irregularly shaped cellular structures in EM images 13 Proceedings of the 13th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI '10) September 2010 Beijing, China 463 471 (4) 2009; 28 (16) 2010; 37 (22) 2013; 2013 (2) 2009; 45 (14) 2010; 57 (10) 2014; 41 (21) 2012; 39 Arthur D. Vassilvitskii S. K-means++: the advantages of careful seeding Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA '07) January 2007 New Orleans, La, USA 1027 1035 (25) 2014; 2 (18) 2014; 2014 (27) 2012; 37 (34) 2008; 38 (30) 2004; 23 (41) 2011; 38 (28) 2006; 26 (11) 2010; 37 Zhang H. Yang L. Foran D. J. Nosher J. L. Yim P. J. 3D segmentation of the liver using free-form deformation based on boosting and deformation gradients Proceedings of the 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI '09) June-July 2009 Boston, Mass, USA 494 497 10.1109/ISBI.2009.5193092 Chen Y. Wang Z. Zhao W. Yang X. Liver segmentation from CT images based on region growing method Proceedings of the 3rd International Conference on Bioinformatics and Biomedical Engineering (ICBBE '09) June 2009 Beijing, China 1 4 10.1109/icbbe.2009.5163018 2-s2.0-72749087348 (12) 2015; 43 (6) 2014; 125 (32) 2006; 70 Kainmüller D. Lange T. Lamecker H. Shape constrained automatic segmentation of the liver based on a heuristic intensity model Proceedings of the MICCAI Workshop on 3-D Segmentation in the Clinic: A Grand Challenge October 2007 Berlin, Germany 109 116 22 23 24 25 27 28 29 30 31 10 32 11 33 12 35 14 36 37 16 39 18 1 2 3 4 6 7 8 40 41 20 42 21 25728595 - Comput Med Imaging Graph. 2015 Jul;43:1-14 16702462 - Radiographics. 2006 May-Jun;26(3):905-22 26415173 - IEEE Trans Image Process. 2015 Dec;24(12):5315-29 24066017 - Comput Math Methods Med. 2013;2013:958398 24694159 - Med Phys. 2014 Apr;41(4):043502 20527550 - Med Phys. 2010 May;37(5):2159-66 26632041 - Med Phys. 2015 Dec;42(12):6840-52 20033595 - Int J Comput Assist Radiol Surg. 2009 May;4(3):287-97 25220842 - Int J Cancer. 2015 Mar 1;136(5):E359-86 20879348 - Med Image Comput Comput Assist Interv. 2010;13(Pt 2):463-71 19997530 - Proc IEEE Int Symp Biomed Imaging. 2009;5193092:494-497 15742889 - IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1124-37 25105118 - Biomed Res Int. 2014;2014:198015 17429644 - Eur Radiol. 2007 Aug;17(8):2062-70 19059767 - Artif Intell Med. 2009 Feb-Mar;45(2-3):185-96 25903775 - Int J Comput Assist Radiol Surg. 2015 Jun;10(6):879-89 20615804 - IEEE Trans Biomed Eng. 2010 Oct;57(10):2622-6 20229887 - Med Phys. 2010 Feb;37(2):771-83 19211338 - IEEE Trans Med Imaging. 2009 Aug;28(8):1251-65 25276219 - Comput Math Methods Med. 2014;2014:182909 22380370 - Med Phys. 2012 Mar;39(3):1361-73 21815399 - Med Phys. 2011 Jun;38(6):3246-59 16857979 - Radiology. 2006 Sep;240(3):743-8 18550045 - Comput Biol Med. 2008 Jul;38(7):765-84 22641706 - IEEE Trans Pattern Anal Mach Intell. 2012 Nov;34(11):2274-82 18003190 - Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5243-6 |
| References_xml | – volume: 26 start-page: 1124 issue: 9 year: 2004 end-page: 1137 ident: 31 article-title: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision – volume: 43 start-page: 1 year: 2015 end-page: 14 ident: 12 article-title: Iterative mesh transformation for 3D segmentation of livers with cancers in CT images – volume: 13 start-page: 47 issue: 6 year: 1996 end-page: 60 ident: 37 article-title: The expectation-maximization algorithm – volume: 17 start-page: 2062 issue: 8 year: 2007 end-page: 2070 ident: 40 article-title: Actual role of radiofrequency ablation of liver metastases – volume: 37 start-page: 2159 issue: 5 year: 2010 end-page: 2166 ident: 11 article-title: Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms – volume: 240 start-page: 743 issue: 3 year: 2006 end-page: 748 ident: 3 article-title: Automated hepatic volumetry for living related liver transplantation at multisection CT – volume: 23 start-page: 303 issue: 3 year: 2004 end-page: 308 ident: 38 article-title: Lazy snapping – volume: 7 start-page: 163 issue: 1 year: 2013 end-page: 172 ident: 7 article-title: Automatic liver and lesion segmentation: a primary step in diagnosis of liver diseases – volume: 37 start-page: 83 issue: 2 year: 2012 end-page: 95 ident: 27 article-title: Survey on liver CT image segmentation methods – volume: 38 start-page: 3246 issue: 6 year: 2011 end-page: 3259 ident: 41 article-title: Computer-assisted trajectory planning for percutaneous needle insertions – volume: 2 start-page: 1 issue: 2 year: 2014 end-page: 7 ident: 25 article-title: Review on the methods of automatic liver segmentation from abdominal images – volume: 136 start-page: e359 issue: 5 year: 2015 end-page: e386 ident: 1 article-title: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012 – volume: 28 start-page: 1251 issue: 8 year: 2009 end-page: 1265 ident: 4 article-title: Comparison and evaluation of methods for liver segmentation from CT datasets – volume: 38 start-page: 765 issue: 7 year: 2008 end-page: 784 ident: 34 article-title: Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation – volume: 9 start-page: 62 issue: 1 year: 1979 end-page: 66 ident: 33 article-title: A threshold selection method from gray level histogram – reference: Zhao Y. Zan Y. Wang X. Li G. Fuzzy C-means clustering-based multilayer perceptron neural network for liver CT images automatic segmentation Proceedings of the Chinese Control and Decision Conference (CCDC '10) May 2010 Xuzhou, China 3423 3427 10.1109/ccdc.2010.5498558 2-s2.0-77955406531 – reference: Arthur D. Vassilvitskii S. K-means++: the advantages of careful seeding Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA '07) January 2007 New Orleans, La, USA 1027 1035 – volume: 37 start-page: 771 issue: 2 year: 2010 end-page: 783 ident: 16 article-title: Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation – volume: 34 start-page: 2274 issue: 11 year: 2012 end-page: 2281 ident: 29 article-title: SLIC superpixels compared to state-of-the-art superpixel methods – volume: 41 issue: 4 year: 2014 ident: 10 article-title: A region-appearance-based adaptive variational model for 3D liver segmentation – volume: 70 start-page: 109 issue: 2 year: 2006 end-page: 131 ident: 32 article-title: Graph cuts and efficient N-D image segmentation – volume: 2013 year: 2013 end-page: 12 ident: 22 article-title: Liver segmentation based on snakes model and improved GrowCut algorithm in abdominal CT image – volume: 23 start-page: 309 issue: 3 year: 2004 end-page: 314 ident: 30 article-title: ‘GrabCut’—interactive foreground extraction using iterated graph cuts – reference: Massoptier L. Casciaro S. Fully automatic liver segmentation through graph-cut technique Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '07) August 2007 Lyon, France 5243 5246 10.1109/iembs.2007.4353524 2-s2.0-57649149659 – volume: 45 start-page: 185 issue: 2-3 year: 2009 end-page: 196 ident: 2 article-title: Liver segmentation from computed tomography scans: a survey and a new algorithm – volume: 125 start-page: 2142 issue: 9 year: 2014 end-page: 2147 ident: 6 article-title: The study and application of the improved region growing algorithm for liver segmentation – reference: Kainmüller D. Lange T. Lamecker H. Shape constrained automatic segmentation of the liver based on a heuristic intensity model Proceedings of the MICCAI Workshop on 3-D Segmentation in the Clinic: A Grand Challenge October 2007 Berlin, Germany 109 116 – reference: Li C. Wang X. Eberl S. Fulham M. Yin Y. Feng D. Fully automated liver segmentation for low- and high-contrast ct volumes based on probabilistic atlases Proceedings of the 17th IEEE International Conference on Image Processing (ICIP '10) September 2010 Hong Kong 1733 1736 10.1109/icip.2010.5654434 2-s2.0-78651252814 – reference: Lucchi A. Smith K. Achanta R. Lepetit V. Fua P. A fully automated approach to segmentation of irregularly shaped cellular structures in EM images 13 Proceedings of the 13th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI '10) September 2010 Beijing, China 463 471 – reference: Chen Y. Wang Z. Zhao W. Yang X. Liver segmentation from CT images based on region growing method Proceedings of the 3rd International Conference on Bioinformatics and Biomedical Engineering (ICBBE '09) June 2009 Beijing, China 1 4 10.1109/icbbe.2009.5163018 2-s2.0-72749087348 – volume: 57 start-page: 2622 issue: 10 year: 2010 end-page: 2626 ident: 14 article-title: Automatic liver segmentation using a statistical shape model with optimal surface detection – reference: Zhang H. Yang L. Foran D. J. Nosher J. L. Yim P. J. 3D segmentation of the liver using free-form deformation based on boosting and deformation gradients Proceedings of the 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI '09) June-July 2009 Boston, Mass, USA 494 497 10.1109/ISBI.2009.5193092 – volume: 39 start-page: 1361 issue: 3 year: 2012 end-page: 1373 ident: 21 article-title: Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods – volume: 42 start-page: 6840 issue: 12 year: 2015 end-page: 6852 ident: 24 article-title: 3D liver segmentation using multiple region appearances and graph cuts – volume: 26 start-page: 905 issue: 3 year: 2006 end-page: 922 ident: 28 article-title: Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why – volume: 2014 year: 2014 end-page: 12 ident: 8 article-title: A low-interaction automatic 3D liver segmentation method using computed tomography for selective internal radiation therapy – volume: 24 start-page: 5315 issue: 12 year: 2015 end-page: 5329 ident: 20 article-title: Automatic liver segmentation based on shape constraints and deformable graph cut in CT images – volume: 7 start-page: 591 issue: 6 year: 2012 end-page: 598 ident: 23 article-title: The domain knowledge based graph-cut model for liver CT segmentation – volume: 4 start-page: 287 issue: 3 year: 2009 end-page: 297 ident: 36 article-title: Liver segmentation by intensity analysis and anatomical information in multi-slice CT images – reference: Priyadarsini S. Selvathi D. Survey on segmentation of liver from CT images Proceedings of the IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT '12) August 2012 Ramanathapuram, India 234 238 10.1109/icaccct.2012.6320777 2-s2.0-84869405542 – volume: 2014 year: 2014 end-page: 16 ident: 18 article-title: A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans – volume: 10 start-page: 879 issue: 6 year: 2015 end-page: 889 ident: 42 article-title: Interactive multi-criteria planning for radiofrequency ablation – ident: 20 doi: 10.1109/tip.2015.2481326 – ident: 31 doi: 10.1007/s11263-006-7934-5 – ident: 39 doi: 10.1007/s11548-009-0293-2 – ident: 40 doi: 10.1007/s00330-007-0587-0 – ident: 6 doi: 10.1016/j.ijleo.2013.10.049 – ident: 14 doi: 10.1109/tbme.2010.2056369 – ident: 35 doi: 10.1145/1015706.1015720 – ident: 33 doi: 10.1016/j.compbiomed.2008.04.006 – ident: 27 doi: 10.1007/s10462-011-9220-3 – ident: 11 doi: 10.1118/1.3395579 – ident: 21 doi: 10.1118/1.3682171 – ident: 3 doi: 10.1148/radiol.2403050850 – ident: 29 doi: 10.1109/tpami.2012.120 – ident: 25 doi: 10.4236/jcc.2014.22001 – ident: 28 doi: 10.1148/rg.263055186 – ident: 22 doi: 10.1155/2013/958398 – ident: 30 doi: 10.1109/tpami.2004.60 – ident: 18 doi: 10.1155/2014/182909 – ident: 42 doi: 10.1007/s11548-015-1201-6 – ident: 32 doi: 10.1109/tsmc.1979.4310076 – ident: 41 doi: 10.1118/1.3590374 – ident: 2 doi: 10.1016/j.artmed.2008.07.020 – ident: 10 doi: 10.1118/1.4866837 – ident: 23 doi: 10.1016/j.bspc.2012.04.005 – ident: 1 doi: 10.1002/ijc.29210 – ident: 8 doi: 10.1155/2014/198015 – ident: 24 doi: 10.1118/1.4934834 – ident: 37 doi: 10.1109/79.543975 – ident: 7 doi: 10.1007/s11760-011-0223-y – ident: 36 doi: 10.1145/1015706.1015719 – ident: 12 doi: 10.1016/j.compmedimag.2015.01.006 – ident: 16 doi: 10.1118/1.3284530 – ident: 4 doi: 10.1109/tmi.2009.2013851 – reference: 16702462 - Radiographics. 2006 May-Jun;26(3):905-22 – reference: 15742889 - IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1124-37 – reference: 19059767 - Artif Intell Med. 2009 Feb-Mar;45(2-3):185-96 – reference: 17429644 - Eur Radiol. 2007 Aug;17(8):2062-70 – reference: 24694159 - Med Phys. 2014 Apr;41(4):043502 – reference: 25105118 - Biomed Res Int. 2014;2014:198015 – reference: 20229887 - Med Phys. 2010 Feb;37(2):771-83 – reference: 20879348 - Med Image Comput Comput Assist Interv. 2010;13(Pt 2):463-71 – reference: 20527550 - Med Phys. 2010 May;37(5):2159-66 – reference: 25276219 - Comput Math Methods Med. 2014;2014:182909 – reference: 26415173 - IEEE Trans Image Process. 2015 Dec;24(12):5315-29 – reference: 16857979 - Radiology. 2006 Sep;240(3):743-8 – reference: 20615804 - IEEE Trans Biomed Eng. 2010 Oct;57(10):2622-6 – reference: 25728595 - Comput Med Imaging Graph. 2015 Jul;43:1-14 – reference: 24066017 - Comput Math Methods Med. 2013;2013:958398 – reference: 20033595 - Int J Comput Assist Radiol Surg. 2009 May;4(3):287-97 – reference: 19211338 - IEEE Trans Med Imaging. 2009 Aug;28(8):1251-65 – reference: 21815399 - Med Phys. 2011 Jun;38(6):3246-59 – reference: 19997530 - Proc IEEE Int Symp Biomed Imaging. 2009;5193092:494-497 – reference: 25903775 - Int J Comput Assist Radiol Surg. 2015 Jun;10(6):879-89 – reference: 22641706 - IEEE Trans Pattern Anal Mach Intell. 2012 Nov;34(11):2274-82 – reference: 18550045 - Comput Biol Med. 2008 Jul;38(7):765-84 – reference: 22380370 - Med Phys. 2012 Mar;39(3):1361-73 – reference: 18003190 - Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5243-6 – reference: 26632041 - Med Phys. 2015 Dec;42(12):6840-52 – reference: 25220842 - Int J Cancer. 2015 Mar 1;136(5):E359-86 |
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| SubjectTerms | Abdomen - pathology Algorithms Anisotropy Cluster Analysis Computer Simulation Cone-Beam Computed Tomography Contrast Media - chemistry Databases, Factual Diagnosis, Computer-Assisted Humans Image Processing, Computer-Assisted - methods Liver - diagnostic imaging Liver - pathology Models, Statistical Normal Distribution Pattern Recognition, Automated Probability Reproducibility of Results Tomography, X-Ray Computed |
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| Title | Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts |
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