乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T07:17:28Z","timestamp":1695021448878},"reference-count":39,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2009,2,1]],"date-time":"2009-02-01T00:00:00Z","timestamp":1233446400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2009,2]]},"DOI":"10.1016\/j.cmpb.2008.10.008","type":"journal-article","created":{"date-parts":[[2008,12,14]],"date-time":"2008-12-14T09:29:14Z","timestamp":1229246954000},"page":"206-215","source":"Crossref","is-referenced-by-count":23,"title":["Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT)"],"prefix":"10.1016","volume":"93","author":[{"given":"Youngjoo","family":"Lee","sequence":"first","affiliation":[]},{"given":"Joon Beom","family":"Seo","sequence":"additional","affiliation":[]},{"given":"June Goo","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Song Soo","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Namkug","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Suk Ho","family":"Kang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.cmpb.2008.10.008_bib1","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1148\/radiol.2283020505","article-title":"Obstructive lung diseases: texture classification for differentiation at CT","volume":"228","author":"Chabat","year":"2003","journal-title":"Radiology"},{"issue":"3","key":"10.1016\/j.cmpb.2008.10.008_bib2","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1148\/radiology.211.3.r99jn05851","article-title":"Pulmonary emphysema: subjective visual grading versus objective quantification with macroscopic morphometry and thin-section CT densitometry","volume":"211","author":"Bankier","year":"1999","journal-title":"Radiology"},{"key":"10.1016\/j.cmpb.2008.10.008_bib3","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.1164\/ajrccm.164.12.2012140","article-title":"Core to rind distribution of severe emphysema predicts outcome of lung volume reduction surgery","volume":"164","author":"Nakano","year":"2001","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"10.1016\/j.cmpb.2008.10.008_bib4","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1164\/ajrccm.159.3.9805067","article-title":"A quantification of the lung surface area in emphysema using computed tomography","volume":"159","author":"Coxson","year":"1999","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"10.1016\/j.cmpb.2008.10.008_bib5","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1148\/radiology.175.1.2315492","article-title":"Measurement of pulmonary parenchymal attenuation: use of spirometric gating with quantitative CT","volume":"175","author":"Kalender","year":"1990","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.cmpb.2008.10.008_bib6","first-page":"179","article-title":"Correlation between annual change in health status and computer tomography derived lung density in subjects with alpha1-antitrypsin deficiency","volume":"59","author":"Stolk","year":"2004","journal-title":"Thorax"},{"key":"10.1016\/j.cmpb.2008.10.008_bib7","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1080\/02841850410005642","article-title":"Short-term reproducibility of computed tomography-based lung density measurements in alpha-1 antitrypsin deficiency and smokers with emphysema","volume":"45","author":"Shaker","year":"2004","journal-title":"Acta Radiol."},{"key":"10.1016\/j.cmpb.2008.10.008_bib8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1097\/01.rli.0000091842.82062.a3","article-title":"Comparison of the sensitivities of 5 different computed tomography scanners for the assessment of the progression of pulmonary emphysema: a phantom study","volume":"39","author":"Stoel","year":"2004","journal-title":"Invest. Radiol."},{"key":"10.1016\/j.cmpb.2008.10.008_bib9","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1080\/02841859709172418","article-title":"Progress of emphysema in severe alpha 1-antitrypsin deficiency as assessed by annual CT","volume":"38","author":"Dirksen","year":"1997","journal-title":"Acta Radiol."},{"key":"10.1016\/j.cmpb.2008.10.008_bib10","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/TMI.2006.870889","article-title":"MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies","volume":"25","author":"Xu","year":"2006","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"8","key":"10.1016\/j.cmpb.2008.10.008_bib11","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1016\/j.acra.2006.04.017","article-title":"Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM)","volume":"13","author":"Xu","year":"2006","journal-title":"Acad. Radiol."},{"issue":"9","key":"10.1016\/j.cmpb.2008.10.008_bib12","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1109\/TBME.2002.802012","article-title":"Comparison of machine learning and traditional classifiers in glaucoma diagnosis","volume":"49","author":"Chan","year":"2002","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"3","key":"10.1016\/j.cmpb.2008.10.008_bib13","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1109\/TMI.2004.842457","article-title":"A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications","volume":"24","author":"Wei","year":"2005","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.cmpb.2008.10.008_bib14","first-page":"2082","article-title":"Dependence of tissue characterization features on region of interest (ROI) size: studies on phantoms and simulations","volume":"3","author":"He","year":"2004","journal-title":"Ultrasonics Symp. IEEE"},{"key":"10.1016\/j.cmpb.2008.10.008_bib15","doi-asserted-by":"crossref","first-page":"2432","DOI":"10.1118\/1.598454","article-title":"On segmentation of lung parenchyma in quantitative computed tomography of the lung","volume":"25","author":"Kemerink","year":"1998","journal-title":"Med. Phys."},{"key":"10.1016\/j.cmpb.2008.10.008_bib16","doi-asserted-by":"crossref","first-page":"61444L","DOI":"10.1117\/12.654287","article-title":"Evaluation of binning strategies for tissue classification in computed tomography images","volume":"6144","author":"Handrick","year":"2006","journal-title":"Proc. SPIE Med. Imaging: Image Process."},{"issue":"6","key":"10.1016\/j.cmpb.2008.10.008_bib17","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural features for image classification","volume":"SMC-3","author":"Haralick","year":"1973","journal-title":"IEEE Trans. Syst. Man Cybernet."},{"key":"10.1016\/j.cmpb.2008.10.008_bib18","unstructured":"N. Kim, J.B. Seo, Y. Lee, J.G. Lee, S.S. Kim, S.-H. Kang, Development of an automatic classification system for differentiation of obstructive lung disease using HRCT, J. Digital Imaging, to be published (online available)."},{"key":"10.1016\/j.cmpb.2008.10.008_bib19","series-title":"Neural Networks for Pattern Recognition","author":"Bishop","year":"1995"},{"key":"10.1016\/j.cmpb.2008.10.008_bib20","series-title":"Pattern Recognition and Neural Networks","author":"Ripley","year":"1996"},{"key":"10.1016\/j.cmpb.2008.10.008_bib21","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"2006"},{"key":"10.1016\/j.cmpb.2008.10.008_bib22","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1007465528199","article-title":"Bayesian network classifiers","volume":"29","author":"Friedman","year":"1997","journal-title":"Mach. Learning"},{"key":"10.1016\/j.cmpb.2008.10.008_bib23","series-title":"Machine Learning","author":"Mitchell","year":"1997"},{"key":"10.1016\/j.cmpb.2008.10.008_bib24","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/0885-064X(88)90020-9","article-title":"On the capabilities of multilayer perceptrons","volume":"4","author":"Baum","year":"1988","journal-title":"J. Complexity"},{"key":"10.1016\/j.cmpb.2008.10.008_bib25","series-title":"Proceedings of the Fifth Annual Workshop on Computational Learning Theory, vol. 5","first-page":"144","article-title":"A training algorithm for optimal margin classifiers","author":"Boser","year":"1992"},{"issue":"2","key":"10.1016\/j.cmpb.2008.10.008_bib26","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","article-title":"A tutorial on support vector machines for pattern recognition","volume":"2","author":"Burges","year":"1998","journal-title":"Data Mining Knowl. Discov."},{"key":"10.1016\/j.cmpb.2008.10.008_bib27","series-title":"Proceedings of IEEE Workshop on Neural Networks for Signal Processing","first-page":"775","article-title":"Support vector machines for speaker verification and identification","author":"Wan","year":"2002"},{"key":"10.1016\/j.cmpb.2008.10.008_bib28","series-title":"Proceedings of Computer Vision and Pattern Recognition","first-page":"130","article-title":"Training support vector machines: an application to face detection","author":"Osuna","year":"1997"},{"issue":"4","key":"10.1016\/j.cmpb.2008.10.008_bib29","first-page":"21","article-title":"Using SVMs for text categorization","volume":"13","author":"Dumais","year":"1998","journal-title":"IEEE Intell. Syst."},{"key":"10.1016\/j.cmpb.2008.10.008_bib30","series-title":"Improving the Overall Accuracy and Speed of Support Vector Learning Machine","author":"Burges","year":"1997"},{"key":"10.1016\/j.cmpb.2008.10.008_bib31","first-page":"47","article-title":"Incorporating invariances in support vector learning machines","volume":"1112","author":"Sch\u00f6lkopf","year":"1996","journal-title":"Proc. Int. Conf. Artif. Neural Netw."},{"key":"10.1016\/j.cmpb.2008.10.008_bib32","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1093\/bioinformatics\/16.10.906","article-title":"Support vector machine classification and validation of cancer tissue samples using microarray expression data","volume":"16","author":"Furey","year":"2000","journal-title":"Bioinformatics"},{"key":"10.1016\/j.cmpb.2008.10.008_bib33","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1093\/bioinformatics\/17.4.349","article-title":"Multi-class protein fold recognition using support vector machines and neural networks","volume":"16","author":"Ding","year":"2001","journal-title":"Bioinformatics"},{"key":"10.1016\/j.cmpb.2008.10.008_bib34","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1093\/bioinformatics\/16.9.799","article-title":"Engineering support vector machine kernels that recognize translation initiation sites","volume":"16","author":"Zien","year":"2000","journal-title":"Bioinformatics"},{"key":"10.1016\/j.cmpb.2008.10.008_bib35","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1093\/bioinformatics\/16.5.412","article-title":"Assessing the accuracy of prediction algorithms for classification: an overview","volume":"16","author":"Baldi","year":"2000","journal-title":"Bioinformatics"},{"key":"10.1016\/j.cmpb.2008.10.008_bib36","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1090\/qam\/10666","article-title":"A method for the solution of certain nonlinear problems in least square","volume":"2","author":"Levenberg","year":"1944","journal-title":"Quart. J. Appl. Math."},{"key":"10.1016\/j.cmpb.2008.10.008_bib37","series-title":"Pattern Classification","author":"Duda","year":"2001"},{"key":"10.1016\/j.cmpb.2008.10.008_bib38","series-title":"Making Large-Scale SVM Learning Practical. In Advances in Kernel Methods\u2014Support Vector Learning","author":"Joachims","year":"1999"},{"key":"10.1016\/j.cmpb.2008.10.008_bib39","series-title":"Pattern Classification: A Unified View of Statistical and Neural Approaches","author":"Schurmann","year":"1996"}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260708002460?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260708002460?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T07:55:05Z","timestamp":1557993305000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260708002460"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,2]]},"references-count":39,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2009,2]]}},"alternative-id":["S0169260708002460"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2008.10.008","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2009,2]]}}}