Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification
The key problem of computer-aided diagnosis (CAD) of lung cancer is to segment pathologically changed tissues fast and accurately. As pulmonary nodules are potential manifestation of lung cancer, we propose a fast and self-adaptive pulmonary nodules segmentation method based on a combination of FCM...
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| Published in | Computational and mathematical methods in medicine Vol. 2015; no. 2015; pp. 1 - 14 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2015
Hindawi |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1748-670X 1748-6718 1748-6718 |
| DOI | 10.1155/2015/185726 |
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| Abstract | The key problem of computer-aided diagnosis (CAD) of lung cancer is to segment pathologically changed tissues fast and accurately. As pulmonary nodules are potential manifestation of lung cancer, we propose a fast and self-adaptive pulmonary nodules segmentation method based on a combination of FCM clustering and classification learning. The enhanced spatial function considers contributions to fuzzy membership from both the grayscale similarity between central pixels and single neighboring pixels and the spatial similarity between central pixels and neighborhood and improves effectively the convergence rate and self-adaptivity of the algorithm. Experimental results show that the proposed method can achieve more accurate segmentation of vascular adhesion, pleural adhesion, and ground glass opacity (GGO) pulmonary nodules than other typical algorithms. |
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| AbstractList | The key problem of computer-aided diagnosis (CAD) of lung cancer is to segment pathologically changed tissues fast and accurately. As pulmonary nodules are potential manifestation of lung cancer, we propose a fast and self-adaptive pulmonary nodules segmentation method based on a combination of FCM clustering and classification learning. The enhanced spatial function considers contributions to fuzzy membership from both the grayscale similarity between central pixels and single neighboring pixels and the spatial similarity between central pixels and neighborhood and improves effectively the convergence rate and self-adaptivity of the algorithm. Experimental results show that the proposed method can achieve more accurate segmentation of vascular adhesion, pleural adhesion, and ground glass opacity (GGO) pulmonary nodules than other typical algorithms. The key problem of computer-aided diagnosis (CAD) of lung cancer is to segment pathologically changed tissues fast and accurately. As pulmonary nodules are potential manifestation of lung cancer, we propose a fast and self-adaptive pulmonary nodules segmentation method based on a combination of FCM clustering and classification learning. The enhanced spatial function considers contributions to fuzzy membership from both the grayscale similarity between central pixels and single neighboring pixels and the spatial similarity between central pixels and neighborhood and improves effectively the convergence rate and self-adaptivity of the algorithm. Experimental results show that the proposed method can achieve more accurate segmentation of vascular adhesion, pleural adhesion, and ground glass opacity (GGO) pulmonary nodules than other typical algorithms.The key problem of computer-aided diagnosis (CAD) of lung cancer is to segment pathologically changed tissues fast and accurately. As pulmonary nodules are potential manifestation of lung cancer, we propose a fast and self-adaptive pulmonary nodules segmentation method based on a combination of FCM clustering and classification learning. The enhanced spatial function considers contributions to fuzzy membership from both the grayscale similarity between central pixels and single neighboring pixels and the spatial similarity between central pixels and neighborhood and improves effectively the convergence rate and self-adaptivity of the algorithm. Experimental results show that the proposed method can achieve more accurate segmentation of vascular adhesion, pleural adhesion, and ground glass opacity (GGO) pulmonary nodules than other typical algorithms. |
| Author | Zhang, Cai-Ming Liu, Hui Wang, Kai Deng, Kai Su, Zhi-Yuan |
| AuthorAffiliation | 3 Lawrence Berkeley National Lab, University of California, Berkeley, CA 94720, USA 4 Respiratory Department, Shandong Provincial Qianfoshan Hospital, Jinan 250014, China 2 Digital Media Technology Key Lab of Shandong Province, Jinan 250014, China 1 School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China |
| AuthorAffiliation_xml | – name: 1 School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China – name: 2 Digital Media Technology Key Lab of Shandong Province, Jinan 250014, China – name: 3 Lawrence Berkeley National Lab, University of California, Berkeley, CA 94720, USA – name: 4 Respiratory Department, Shandong Provincial Qianfoshan Hospital, Jinan 250014, China |
| Author_xml | – sequence: 1 fullname: Wang, Kai – sequence: 2 fullname: Su, Zhi-Yuan – sequence: 3 fullname: Zhang, Cai-Ming – sequence: 4 fullname: Liu, Hui – sequence: 5 fullname: Deng, Kai |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25945120$$D View this record in MEDLINE/PubMed https://www.osti.gov/servlets/purl/1626225$$D View this record in Osti.gov |
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| Cites_doi | 10.1016/j.patcog.2006.07.011 10.1109/TMI.2011.2162528 10.1016/j.compmedimag.2005.10.001 10.1007/s11432-013-4988-1 10.1016/j.compmedimag.2007.02.002 10.1016/j.compbiomed.2012.09.003 10.1007/s11263-006-7934-5 10.1109/TIP.2010.2040763 10.1007/s11432-012-4556-0 10.1007/s00247-008-0844-7 10.1109/42.996338 10.1109/TMI.2006.871548 10.1016/j.media.2009.07.001 10.1118/1.3528204 10.1109/TSMCB.2004.831165 10.1109/TSMC.1976.4309506 10.1016/j.jvcir.2014.01.014 10.1109/TIP.2012.2186306 10.1016/j.ins.2013.10.002 |
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| References | (10) 2014; 262 (1) 2008; 38 (2) 2007; 31 (6) 2012; 42 (20) 2007; 40 (21) 2010; 19 Szilagyi L. Benyo Z. Szilagyi S. M. Adam H. S. MR brain image segmentation using an enhanced fuzzy C-means algorithm Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society September 2003 724 726 10.1109/iembs.2003.1279866 (15) 2006; 30 (8) 2012; 31 (3) 2014; 26 (11) 2012; 55 Bezdek J. C. Pattern Recognition with Fuzzy Objective Function Algorithms 1981 New York, NY, USA Plenum Press MR631231 (23) 2011; 38 (18) 2004; 34 (12) 2006; 70 (16) 2002; 21 Balafar M. A. Ramli A. R. Mashohor S. Farzan A. Compare different spatial based fuzzy-c_mean (FCM) extensions for MRI image segmentation 5 Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE '10) February 2010 Singapore IEEE 609 611 10.1109/iccae.2010.5451302 2-s2.0-77952621669 (4) 2013; 56 (9) 2009; 13 (13) 2012; 21 (22) 1976; 6 (5) 2006; 25 (7) 2014; 25 11 12 23 13 15 16 17 18 19 (5) 1981 1 2 (14) 2014; 26 6 7 8 9 20 21 10 (4) 1976; 6 20089475 - IEEE Trans Image Process. 2010 May;19(5):1328-37 16608059 - IEEE Trans Med Imaging. 2006 Apr;25(4):435-50 21452728 - Med Phys. 2011 Feb;38(2):915-31 21788185 - IEEE Trans Med Imaging. 2012 Jan;31(1):33-50 22311862 - IEEE Trans Image Process. 2012 Apr;21(4):2035-46 18470453 - Pediatr Radiol. 2008 Jun;38 Suppl 3:S439-51 17349778 - Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):198-211 16361080 - Comput Med Imaging Graph. 2006 Jan;30(1):9-15 19646913 - Med Image Anal. 2009 Oct;13(5):757-70 11989844 - IEEE Trans Med Imaging. 2002 Mar;21(3):193-9 15462455 - IEEE Trans Syst Man Cybern B Cybern. 2004 Aug;34(4):1907-16 23021776 - Comput Biol Med. 2012 Nov;42(11):1110-21 |
| References_xml | – volume: 6 start-page: 387 issue: 5 year: 1976 end-page: 389 ident: 22 article-title: A physical interpretation of fuzzy isodata – volume: 40 start-page: 825 issue: 3 year: 2007 end-page: 838 ident: 20 article-title: Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation – reference: Szilagyi L. Benyo Z. Szilagyi S. M. Adam H. S. MR brain image segmentation using an enhanced fuzzy C-means algorithm Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society September 2003 724 726 10.1109/iembs.2003.1279866 – volume: 55 start-page: 1052 issue: 5 year: 2012 end-page: 1061 ident: 11 article-title: Medical image segmentation using improved FCM – volume: 34 start-page: 1907 issue: 4 year: 2004 end-page: 1916 ident: 18 article-title: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure – reference: Balafar M. A. Ramli A. R. Mashohor S. Farzan A. Compare different spatial based fuzzy-c_mean (FCM) extensions for MRI image segmentation 5 Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE '10) February 2010 Singapore IEEE 609 611 10.1109/iccae.2010.5451302 2-s2.0-77952621669 – volume: 31 start-page: 33 issue: 1 year: 2012 end-page: 50 ident: 8 article-title: Medial-based deformable models in nonconvex shape-spaces for medical image segmentation – volume: 21 start-page: 193 issue: 3 year: 2002 end-page: 199 ident: 16 article-title: A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data – volume: 42 start-page: 1110 issue: 11 year: 2012 end-page: 1121 ident: 6 article-title: Automatic segmentation of lung nodules with growing neural gas and support vector machine – volume: 25 start-page: 827 issue: 5 year: 2014 end-page: 839 ident: 7 article-title: Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization – volume: 13 start-page: 757 issue: 5 year: 2009 end-page: 770 ident: 9 article-title: A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification – volume: 25 start-page: 435 issue: 4 year: 2006 end-page: 450 ident: 5 article-title: On measuring the change in size of pulmonary nodules – volume: 262 start-page: 117 year: 2014 end-page: 136 ident: 10 article-title: Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering – volume: 38 start-page: S439 issue: 3 year: 2008 end-page: S451 ident: 1 article-title: Can lung MR replace lung CT? – volume: 56 start-page: 1 issue: 9 year: 2013 end-page: 9 ident: 4 article-title: Local thresholding with adaptive window shrinkage in the contourlet domain for image denoising – volume: 21 start-page: 2035 issue: 4 year: 2012 end-page: 2046 ident: 13 article-title: Medical image segmentation by combining graph cuts and oriented active appearance models – volume: 31 start-page: 198 issue: 4-5 year: 2007 end-page: 211 ident: 2 article-title: Computer-aided diagnosis in medical imaging: historical review, current status and future potential – volume: 19 start-page: 1328 issue: 5 year: 2010 end-page: 1337 ident: 21 article-title: A robust fuzzy local information C-means clustering algorithm – volume: 26 start-page: 465 issue: 3 year: 2014 end-page: 471 ident: 3 article-title: Medical image segmentation algorithm based on quantum clonal evolution and two-dimensional tsallis entropy – volume: 30 start-page: 9 issue: 1 year: 2006 end-page: 15 ident: 15 article-title: Fuzzy c-means clustering with spatial information for image segmentation – volume: 70 start-page: 109 issue: 2 year: 2006 end-page: 131 ident: 12 article-title: Graph cuts and efficient N-D image segmentation – reference: Bezdek J. C. Pattern Recognition with Fuzzy Objective Function Algorithms 1981 New York, NY, USA Plenum Press MR631231 – volume: 38 start-page: 915 issue: 2 year: 2011 end-page: 931 ident: 23 article-title: The lung image database consortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans – year: 1981 ident: 5 – ident: 7 doi: 10.1016/j.patcog.2006.07.011 – ident: 15 doi: 10.1109/TMI.2011.2162528 – ident: 10 doi: 10.1016/j.compmedimag.2005.10.001 – ident: 20 doi: 10.1007/s11432-013-4988-1 – ident: 11 doi: 10.1016/j.compmedimag.2007.02.002 – ident: 21 doi: 10.1016/j.compbiomed.2012.09.003 – ident: 6 doi: 10.1007/s11263-006-7934-5 – ident: 13 doi: 10.1109/TIP.2010.2040763 – ident: 23 doi: 10.1007/s11432-012-4556-0 – ident: 18 doi: 10.1007/s00247-008-0844-7 – ident: 1 doi: 10.1109/42.996338 – volume: 26 start-page: 465 issue: 3 year: 2014 ident: 14 publication-title: Journal of Computer-Aided Design and Computer Graphics – ident: 19 doi: 10.1109/TMI.2006.871548 – ident: 16 doi: 10.1016/j.media.2009.07.001 – ident: 2 doi: 10.1118/1.3528204 – ident: 8 doi: 10.1109/TSMCB.2004.831165 – volume: 6 start-page: 387 issue: 5 year: 1976 ident: 4 publication-title: IEEE Transactions on Systems, Man, and Cybernetics doi: 10.1109/TSMC.1976.4309506 – ident: 12 doi: 10.1016/j.jvcir.2014.01.014 – ident: 9 doi: 10.1109/TIP.2012.2186306 – ident: 17 doi: 10.1016/j.ins.2013.10.002 – reference: 16608059 - IEEE Trans Med Imaging. 2006 Apr;25(4):435-50 – reference: 22311862 - IEEE Trans Image Process. 2012 Apr;21(4):2035-46 – reference: 21452728 - Med Phys. 2011 Feb;38(2):915-31 – reference: 15462455 - IEEE Trans Syst Man Cybern B Cybern. 2004 Aug;34(4):1907-16 – reference: 16361080 - Comput Med Imaging Graph. 2006 Jan;30(1):9-15 – reference: 20089475 - IEEE Trans Image Process. 2010 May;19(5):1328-37 – reference: 19646913 - Med Image Anal. 2009 Oct;13(5):757-70 – reference: 21788185 - IEEE Trans Med Imaging. 2012 Jan;31(1):33-50 – reference: 23021776 - Comput Biol Med. 2012 Nov;42(11):1110-21 – reference: 18470453 - Pediatr Radiol. 2008 Jun;38 Suppl 3:S439-51 – reference: 11989844 - IEEE Trans Med Imaging. 2002 Mar;21(3):193-9 – reference: 17349778 - Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):198-211 |
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| SubjectTerms | Algorithms BASIC BIOLOGICAL SCIENCES Cluster Analysis Databases, Factual Diagnosis, Computer-Assisted - methods Early Detection of Cancer - methods Fuzzy Logic Humans Image Processing, Computer-Assisted - methods Lung - blood supply Lung Neoplasms - diagnosis Lung Neoplasms - diagnostic imaging Mathematical & Computational Biology MATHEMATICS AND COMPUTING Models, Statistical Radiographic Image Interpretation, Computer-Assisted - methods Solitary Pulmonary Nodule - diagnosis Solitary Pulmonary Nodule - diagnostic imaging Tomography, X-Ray Computed |
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| Title | Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification |
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