{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T01:32:15Z","timestamp":1768095135843,"version":"3.49.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2012,1,4]],"date-time":"2012-01-04T00:00:00Z","timestamp":1325635200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2012,7]]},"DOI":"10.1007\/s11548-011-0669-y","type":"journal-article","created":{"date-parts":[[2012,1,2]],"date-time":"2012-01-02T23:50:14Z","timestamp":1325548214000},"page":"635-646","source":"Crossref","is-referenced-by-count":31,"title":["Automatic detection and classification of nasopharyngeal carcinoma on PET\/CT with support vector machine"],"prefix":"10.1007","volume":"7","author":[{"given":"Bangxian","family":"Wu","sequence":"first","affiliation":[]},{"given":"Pek-Lan","family":"Khong","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Chan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,1,4]]},"reference":[{"issue":"2","key":"669_CR1","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1148\/rg.242025724","volume":"24","author":"V Kapoor","year":"2004","unstructured":"Kapoor V, McCook BM, Torok FS (2004) An introduction to PET-CT imaging. Radiographics 24(2): 523\u2013543","journal-title":"Radiographics"},{"issue":"Suppl 1","key":"669_CR2","first-page":"4S","volume":"45","author":"DW Townsend","year":"2004","unstructured":"Townsend DW et\u00a0al (2004) PET\/CT today and tomorrow. J Nucl Med 45(Suppl 1): 4S\u201314S","journal-title":"J Nucl Med"},{"issue":"Suppl 1","key":"669_CR3","first-page":"36S","volume":"48","author":"WA Weber","year":"2007","unstructured":"Weber WA, Figlin R (2007) Monitoring cancer treatment with PET\/CT: does it make a difference?. J Nucl Med 48(Suppl 1): 36S\u201344S","journal-title":"J Nucl Med"},{"issue":"2","key":"669_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.radonc.2008.01.009","volume":"87","author":"SW Lee","year":"2008","unstructured":"Lee SW et\u00a0al (2008) Prediction of prognosis using standardized uptake value of 2-[(18)F] fluoro-2-deoxy-d-glucose positron emission tomography for nasopharyngeal carcinomas. Radiother Oncol 87(2): 211\u2013216","journal-title":"Radiother Oncol"},{"issue":"8","key":"669_CR5","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1007\/s00259-011-1789-x","volume":"38","author":"DA Schinagl","year":"2011","unstructured":"Schinagl DA et\u00a0al (2011) Can FDG PET predict radiation treatment outcome in head and neck cancer? Results of a prospective study. Eur J Nucl Med Mol Imaging 38(8): 1449\u20131458","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"Spec No 1","key":"669_CR6","doi-asserted-by":"publisher","first-page":"S3","DOI":"10.1259\/bjr\/82933343","volume":"78","author":"K Doi","year":"2005","unstructured":"Doi K (2005) Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol 78(Spec No 1): S3\u2013S19","journal-title":"Br J Radiol"},{"key":"669_CR7","doi-asserted-by":"crossref","unstructured":"Tozaki YT et\u00a0al (2003) Computer assisted diagnosis method of whole body cancer using FDG-pet images. In: Proceedings of international conference on image processing, vol 2, pp 1085\u20131088","DOI":"10.1109\/ICIP.2003.1246874"},{"key":"669_CR8","doi-asserted-by":"crossref","unstructured":"Opfer R et\u00a0al (2008) Automatic lesion tracking for a PET\/CT based computer aided cancer therapy monitoring system. In: Giger ML, Karssemeijer N (eds) Medical imaging 2008: computer-aided diagnosis. Proceedings of the SPIE, vol 6915, pp 691513.1\u2013691513.10","DOI":"10.1117\/12.770356"},{"key":"669_CR9","doi-asserted-by":"crossref","unstructured":"Sharif MS et\u00a0al (2010) Artificial neural network-based system for PET volume segmentation. Int J Biomed Imaging 2010","DOI":"10.1155\/2010\/105610"},{"issue":"4","key":"669_CR10","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.acra.2009.10.026","volume":"17","author":"X Gao","year":"2010","unstructured":"Gao X et\u00a0al (2010) Computer-assisted quantitative evaluation of therapeutic responses for lymphoma using serial PET\/CT imaging. Acad Radiol 17(4): 479\u2013488","journal-title":"Acad Radiol"},{"issue":"3","key":"669_CR11","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3): 273\u2013297","journal-title":"Mach Learn"},{"issue":"3","key":"669_CR12","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JAK Suykens","year":"1999","unstructured":"Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9(3):293\u2013300","journal-title":"Neural Process Lett"},{"issue":"9","key":"669_CR13","first-page":"1431","volume":"45","author":"JA Thie","year":"2004","unstructured":"Thie JA (2004) Understanding the standardized uptake value, its methods, and implications for usage. J Nucl Med 45(9): 1431\u20131434","journal-title":"J Nucl Med"},{"issue":"3","key":"669_CR14","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1148\/radiology.219.3.r01ma08774","volume":"219","author":"J Aoki","year":"2001","unstructured":"Aoki J et\u00a0al (2001) FDG PET of primary benign and malignant bone tumors: standardized uptake value in 52 lesions. Radiology 219(3): 774\u2013777","journal-title":"Radiology"},{"issue":"11","key":"669_CR15","doi-asserted-by":"crossref","first-page":"3550","DOI":"10.1200\/JCO.1998.16.11.3550","volume":"16","author":"CH Kao","year":"1998","unstructured":"Kao CH et\u00a0al (1998) Detection of recurrent or persistent nasopharyngeal carcinomas after radiotherapy with 18-fluoro-2-deoxyglucose positron emission tomography and comparison with computed tomography. J Clin Oncol 16(11): 3550\u20133555","journal-title":"J Clin Oncol"},{"issue":"5","key":"669_CR16","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1007\/s00259-004-1719-2","volume":"32","author":"TC Yen","year":"2005","unstructured":"Yen TC et\u00a0al (2005) Are dual-phase 18F-FDG PET scans necessary in nasopharyngeal carcinoma to assess the primary tumour and loco-regional nodes?. Eur J Nucl Med Mol Imaging 32(5): 541\u2013548","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"5","key":"669_CR17","doi-asserted-by":"publisher","first-page":"1398","DOI":"10.1200\/JCO.20.5.1398","volume":"20","author":"AS Allal","year":"2002","unstructured":"Allal AS et\u00a0al (2002) Standardized uptake value of 2-[F-18] fluoro-2-deoxy-D-glucose in predicting outcome in head and neck carcinomas treated by radiotherapy with or without chemotherapy. J Clin Oncol 20(5): 1398\u20131404","journal-title":"J Clin Oncol"},{"key":"669_CR18","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1146\/annurev.bioeng.2.1.315","volume":"2","author":"DL Pham","year":"2000","unstructured":"Pham DL, Xu CY, Prince JL (2000) Current methods in medical image segmentation. Annu Rev Biomed Eng 2:315\u2013337","journal-title":"Annu Rev Biomed Eng"},{"issue":"3","key":"669_CR19","doi-asserted-by":"publisher","first-page":"R1","DOI":"10.1088\/0031-9155\/46\/3\/201","volume":"46","author":"DLG Hill","year":"2001","unstructured":"Hill DLG et\u00a0al (2001) Medical image registration. Phys Med Biol 46(3): R1\u2013R45","journal-title":"Phys Med Biol"},{"issue":"10","key":"669_CR20","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1093\/bioinformatics\/16.10.906","volume":"16","author":"TS Furey","year":"2000","unstructured":"Furey TS et\u00a0al (2000) Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16(10): 906\u2013914","journal-title":"Bioinformatics"},{"key":"669_CR21","unstructured":"Chang C, Lin CJ (2001) LIBSVM: a library for support vector machines. \n                    http:\/\/www.csie.ntu.edu.tw\/~cjlin\/papers\/libsvm.pdf"},{"key":"669_CR22","unstructured":"Hsu C, Chang CC, Lin CJ (2003) A practical guide to support vector classification. \n                    http:\/\/www.csie.ntu.edu.tw\/~cjlin\/papers\/guide\/guide.pdf"},{"issue":"8","key":"669_CR23","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1007\/s00259-004-1498-9","volume":"31","author":"SH Ng","year":"2004","unstructured":"Ng SH et\u00a0al (2004) Nodal metastases of nasopharyngeal carcinoma: patterns of disease on MRI and FDG PET. Eur J Nucl Med Mol Imaging 31(8): 1073\u20131080","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"1","key":"669_CR24","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/s00259-008-0918-7","volume":"36","author":"SH Ng","year":"2009","unstructured":"Ng SH et\u00a0al (2009) Staging of untreated nasopharyngeal carcinoma with PET\/CT: comparison with conventional imaging work-up. Eur J Nucl Med Mol Imaging 36(1): 12\u201322","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"964","key":"669_CR25","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1259\/bjr\/73751469","volume":"81","author":"AD King","year":"2008","unstructured":"King AD et\u00a0al (2008) The impact of 18F-FDG PET\/CT on assessment of nasopharyngeal carcinoma at diagnosis. Br J Radiol 81(964): 291\u2013298","journal-title":"Br J Radiol"},{"issue":"3","key":"669_CR26","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1097\/00006231-200503000-00011","volume":"26","author":"W Aung","year":"2005","unstructured":"Aung W et\u00a0al (2005) In-vivo PET imaging of inducible D2R reporter transgene expression using [11C]FLB 457 as reporter probe in living rats. Nucl Med Commun 26(3): 259\u2013268","journal-title":"Nucl Med Commun"},{"key":"669_CR27","doi-asserted-by":"publisher","first-page":"691534","DOI":"10.1117\/12.770456","volume":"6915","author":"T Hara","year":"2008","unstructured":"Hara T et\u00a0al (2008) Automated scoring system of standard uptake value for torso FDG-PET images. Proc SPIE 6915: 691534\u20136915344","journal-title":"Proc SPIE"},{"issue":"4","key":"669_CR28","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1080\/08998280.2005.11928089","volume":"18","author":"LK Griffeth","year":"2005","unstructured":"Griffeth LK (2005) Use of PET\/CT scanning in cancer patients: technical and practical considerations. Proc (Bayl Univ Med Cent) 18(4): 321\u2013330","journal-title":"Proc (Bayl Univ Med Cent)"},{"issue":"10","key":"669_CR29","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1016\/j.imavis.2005.05.015","volume":"23","author":"FY Shih","year":"2005","unstructured":"Shih FY, Cheng SX (2005) Automatic seeded region growing for color image segmentation. Image Vis Comput 23(10): 877\u2013886","journal-title":"Image Vis Comput"},{"key":"669_CR30","first-page":"291","volume":"8","author":"G Loosli","year":"2007","unstructured":"Loosli G, Canu S (2007) Comments on the \u201ccore vector machines: fast SVM training on very large data sets\u201d. J Mach Learn Res 8: 291\u2013301","journal-title":"J Mach Learn Res"},{"key":"669_CR31","first-page":"363","volume":"6","author":"IW Tsang","year":"2005","unstructured":"Tsang IW, Kwok JT, Cheung PM (2005) Core vector machines: fast SVM training on very large data sets. J Mach Learn Res 6: 363\u2013392","journal-title":"J Mach Learn Res"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-011-0669-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-011-0669-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-011-0669-y.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-011-0669-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,18]],"date-time":"2019-04-18T12:02:38Z","timestamp":1555588958000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-011-0669-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,1,4]]},"references-count":31,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2012,7]]}},"alternative-id":["669"],"URL":"https:\/\/doi.org\/10.1007\/s11548-011-0669-y","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,1,4]]}}}