{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:25:48Z","timestamp":1780586748253,"version":"3.54.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2009,2,26]],"date-time":"2009-02-26T00:00:00Z","timestamp":1235606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2010,2]]},"DOI":"10.1007\/s10278-009-9185-9","type":"journal-article","created":{"date-parts":[[2009,2,25]],"date-time":"2009-02-25T16:11:22Z","timestamp":1235578282000},"page":"51-65","source":"Crossref","is-referenced-by-count":81,"title":["Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography"],"prefix":"10.1007","volume":"23","author":[{"given":"Yanjie","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongqiang","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqing","family":"Hua","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingpeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guozhen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianguo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2009,2,26]]},"reference":[{"issue":"3","key":"9185_CR1","doi-asserted-by":"crossref","first-page":"657","DOI":"10.2214\/ajr.178.3.1780657","volume":"178","author":"Y Matsuki","year":"2002","unstructured":"Matsuki Y, Nakamura K, Watanabe H, Aoki T, Nakata H, Katsuragawa S, Doi K: Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. Am J Roentgenol 178(3):657\u2013663, 2002","journal-title":"Am J Roentgenol"},{"key":"9185_CR2","doi-asserted-by":"crossref","first-page":"1024","DOI":"10.1117\/12.237911","volume":"2710","author":"MF McNitt-Gray","year":"1996","unstructured":"McNitt-Gray MF, Hart EM, Goldin JG, Yao CW, Aberle DR: A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution computed tomography. Proc SPIE 2710:1024\u20131034, 1996","journal-title":"Proc SPIE"},{"key":"9185_CR3","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1148\/radiology.214.3.r00mr22823","volume":"214","author":"K Nakamura","year":"2000","unstructured":"Nakamura K, Yoshida H, Engelmann R, MacMahon H: Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology 214:823\u2013830, 2000","journal-title":"Radiology"},{"key":"9185_CR4","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1148\/radiol.2272020498","volume":"227","author":"J Shiraishi","year":"2003","unstructured":"Shiraishi J, Abe H, Englemann R, Aoyama M: Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists\u2032 performance\u2013initial experience. Radiology 227:469\u2013474, 2003","journal-title":"Radiology"},{"key":"9185_CR5","doi-asserted-by":"crossref","unstructured":"Kawata Y, Niki N, Ohmatsu H, Kusumoto M, et al: Hybrid classification approach of malignant and benign pulmonary nodules based on topological and histogram features. In: Proc MICCAI 297\u2013306, 2000","DOI":"10.1007\/978-3-540-40899-4_30"},{"key":"9185_CR6","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/11510888_28","volume":"3587","author":"AC Silva","year":"2005","unstructured":"Silva AC, Paiva AC, Oliveira ACM: Comparison of FLDA, MLP and SVM in diagnosis of lung nodule. Lect Notes Comput Sci 3587:285\u2013294, 2005","journal-title":"Lect Notes Comput Sci"},{"issue":"10","key":"9185_CR7","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1016\/j.acra.2005.06.005","volume":"12","author":"SK Shah","year":"2005","unstructured":"Shah SK, McNitt-Gray MF, Rogers SR: Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features. Acad Radiol 12(10):1310\u20131319, 2005","journal-title":"Acad Radiol"},{"key":"9185_CR8","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1148\/radiology.194.2.7824717","volume":"194","author":"K Yamashita","year":"1995","unstructured":"Yamashita K, Matsunobe S, Tsuda T, Nemoto T: Solitary pulmonary nodule: preliminary study of evaluation with incremental dynamic CT. Radiology 194:399\u2013405, 1995","journal-title":"Radiology"},{"key":"9185_CR9","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1148\/radiology.160.2.3726105","volume":"160","author":"SS Siegelman","year":"1986","unstructured":"Siegelman SS, Khouri NF, Leo FR: Solitary pulmonary nodules: CT assessment. Radiology 160:307\u2013312, 1986","journal-title":"Radiology"},{"issue":"1","key":"9185_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijmedinf.2003.11.024","volume":"73","author":"H M\u00fcller","year":"2004","unstructured":"M\u00fcller H, Michoux N, Bandon D: A review of content-based image retrieval system in medical applications-clinical benefits and future directions. Int J Med Informatics 73(1):1\u201323, 2004","journal-title":"Int J Med Informatics"},{"key":"9185_CR11","doi-asserted-by":"crossref","first-page":"691914","DOI":"10.1117\/12.770386","volume":"6919","author":"B Fisher","year":"2008","unstructured":"Fisher B, Deserno T, Ott B, et al: Integration of a research CBIR system with RIS and PACS for radiological routine. Proc SPIE 6919:691914\u20131\u2013691914-10, 2008","journal-title":"Proc SPIE"},{"key":"9185_CR12","doi-asserted-by":"crossref","first-page":"614515","DOI":"10.1117\/12.652671","volume":"6145","author":"Y Tan","year":"2006","unstructured":"Tan Y, Zhang J, Hua Y, Zhang G: Content-based image retrieval in picture archiving and communication system. Proc SPIE 6145:614515\u20131\u2013614515-8, 2006","journal-title":"Proc SPIE"},{"key":"9185_CR13","doi-asserted-by":"crossref","unstructured":"Deserno T, Antani S, Long RL: Ontology of gaps in content-based image retrieval. J Digit Imaging (in press), 2007","DOI":"10.1117\/12.709912"},{"key":"9185_CR14","doi-asserted-by":"crossref","first-page":"69190C1","DOI":"10.1117\/12.798406","volume":"6919","author":"A Depeusinge","year":"2008","unstructured":"Depeusinge A, Lavindrasana J, Hidki A, et al: A classification framework for lung tissue categorization. Proc SPIE 6919:69190C1\u201369190C12, 2008","journal-title":"Proc SPIE"},{"key":"9185_CR15","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.cmpb.2004.12.008","volume":"79","author":"AC Silva","year":"2005","unstructured":"Silva AC, Carvalho PCP, Gattass M: Diagnosis of lung nodule using semivariogram and geometric measures in computerized tomography images. Comput Methods Programs Biomed 79:31\u201338, 2005","journal-title":"Comput Methods Programs Biomed"},{"key":"9185_CR16","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/PROC.1979.11328","volume":"67","author":"RM Haralick","year":"1979","unstructured":"Haralick RM: Statistical and structural approaches to texture. Proc IEEE 67:786\u2013804, 1979","journal-title":"Proc IEEE"},{"key":"9185_CR17","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1016\/S0031-3203(99)00181-8","volume":"33","author":"DA Clausi","year":"2000","unstructured":"Clausi DA, Jernigan ME: Designing Gabor filters for optimal texture separability. Pattern Recogn 33:1835\u20131849, 2000","journal-title":"Pattern Recogn"},{"issue":"8","key":"9185_CR18","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1109\/34.531803","volume":"18","author":"B Manjunath","year":"1996","unstructured":"Manjunath B, Ma W: Texture features for browsing and retrieval of image data. IEEE Trans Pattern Analysis Mach Intell 18(8):837\u2013842, 1996","journal-title":"IEEE Trans Pattern Analysis Mach Intell"},{"key":"9185_CR19","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1109\/83.469936","volume":"4","author":"M Unser","year":"1995","unstructured":"Unser M: Texture classification and segmentation using wavelet frames. IEEE Trans Image Processing 4:1549\u20131560, 1995","journal-title":"IEEE Trans Image Processing"},{"key":"9185_CR20","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1109\/ICIP.1997.632056","volume":"3","author":"LM Kaplan","year":"1997","unstructured":"Kaplan LM, Murenzi R: Texture segmentation using multiscale Hurst features. IEEE Int Conf Image Process 3:205\u2013208, 1997","journal-title":"IEEE Int Conf Image Process"},{"key":"9185_CR21","doi-asserted-by":"crossref","unstructured":"Joachims T: Text categorization with support vector machines. In: Proceedings of European Conference on Machine Learning (ECML), 1998","DOI":"10.1007\/BFb0026683"},{"key":"9185_CR22","doi-asserted-by":"crossref","unstructured":"Brown M, Grundy W, Lin D, Cristianini N, Sugnet C, Furey T, Ares M, Haussler D: Knowledge-based analysis of microarray gene expression data using support vector machines. 1999. http:\/\/www.cse.ucsc.edu\/research\/compbio\/genex\/genex.html . Santa Cruz, University of California, Department of Computer Science and Engineering","DOI":"10.1073\/pnas.97.1.262"},{"key":"9185_CR23","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel methods for pattern analysis","author":"J Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor J, Cristianini N: Kernel methods for pattern analysis, Cambridge: Cambridge University Press, 2004"},{"key":"9185_CR24","unstructured":"Fawcett T: ROC graphs: notes and practical considerations for data mining researchers. Technical report HPL-2003-4 HP Labs, 2003."},{"key":"9185_CR25","volume-title":"SVM and kernel methods Matlab toolbox","author":"S Canu","year":"2005","unstructured":"Canu S, Grandvalet Y, Guigue V, Rakotomamonjy A: SVM and kernel methods Matlab toolbox, Rouen: Perception Syst\u00e8mes et Information, INSA de Rouen, 2005"},{"key":"9185_CR26","unstructured":"Metz CE: ROCKIT software. http:\/\/xray.bsd.uchicago.edu\/krl\/index.htm , 2006"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-009-9185-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-009-9185-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-009-9185-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T12:01:44Z","timestamp":1559131304000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-009-9185-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,2,26]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2010,2]]}},"alternative-id":["9185"],"URL":"https:\/\/doi.org\/10.1007\/s10278-009-9185-9","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,2,26]]}}}