乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T18:33:00Z","timestamp":1722450780022},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1016\/j.eswa.2017.03.031","type":"journal-article","created":{"date-parts":[[2017,3,16]],"date-time":"2017-03-16T15:51:58Z","timestamp":1489679518000},"page":"67-78","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":27,"special_numbering":"C","title":["Novel methods of image description and ensemble of classifiers in application to mammogram analysis"],"prefix":"10.1016","volume":"81","author":[{"given":"Bartosz","family":"Swiderski","sequence":"first","affiliation":[]},{"given":"Stanislaw","family":"Osowski","sequence":"additional","affiliation":[]},{"given":"Jaroslaw","family":"Kurek","sequence":"additional","affiliation":[]},{"given":"Michal","family":"Kruk","sequence":"additional","affiliation":[]},{"given":"Iwona","family":"Lugowska","sequence":"additional","affiliation":[]},{"given":"Piotr","family":"Rutkowski","sequence":"additional","affiliation":[]},{"given":"Walid","family":"Barhoumi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2017.03.031_bib0001","series-title":"Proceedings workshop on unsupervised and transfer learning, Bellevue, Washington, USA","first-page":"37","article-title":"Autoencoders, unsupervised learning, and deep architectures","volume":"27","author":"Baldi","year":"2012"},{"key":"10.1016\/j.eswa.2017.03.031_bib0002","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Machine Learning"},{"key":"10.1016\/j.eswa.2017.03.031_bib0003","series-title":"Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation","author":"Cichocki","year":"2009"},{"key":"10.1016\/j.eswa.2017.03.031_bib0004","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/S0895-6111(02)00031-9","article-title":"Computer aided diagnosis of breast cancer in digital mammograms","volume":"26","author":"Christoyiani","year":"2002","journal-title":"Computerized Medical Imaging and Graphics"},{"issue":"2","key":"10.1016\/j.eswa.2017.03.031_bib0005","doi-asserted-by":"crossref","first-page":"39","DOI":"10.5565\/rev\/elcvia.216","article-title":"Detection of masses in digital mammograms using K-means and support vector machine","volume":"8","author":"de Oliveira Martins","year":"2009","journal-title":"Electronic Letters on Computer Vision and Image Analysis"},{"issue":"1","key":"10.1016\/j.eswa.2017.03.031_bib0006","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.compbiomed.2015.06.012","article-title":"Breast cancer diagnosis in digitized mammograms using curvelet moments","volume":"64","author":"Dhahbi","year":"2015","journal-title":"Computers in Biology and Medicine"},{"issue":"1","key":"10.1016\/j.eswa.2017.03.031_bib0007","first-page":"1","article-title":"New feature extraction method for mammogram computer aided diagnosis","volume":"6","author":"Elfarra","year":"2013","journal-title":"International Journal of Signal Processing, Image Processing and Pattern Recognition"},{"key":"10.1016\/j.eswa.2017.03.031_bib0008","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.1056\/NEJMoa066099","article-title":"Influence of computer-aided detection on performance of screening mammography","volume":"356","author":"Fenton","year":"2007","journal-title":"New England Journal of Medicine"},{"key":"10.1016\/j.eswa.2017.03.031_bib0009","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/S0734-189X(85)90153-7","article-title":"Image segmentation techniques","volume":"29","author":"Haralick","year":"1985","journal-title":"Computer Vision. Graphics and Image Processing"},{"key":"10.1016\/j.eswa.2017.03.031_bib0010","series-title":"Proceedings of the fourth international workshop on digital mammography","first-page":"457","article-title":"Current status of the digital database for screening mammography","author":"Heath","year":"1998"},{"issue":"5786","key":"10.1016\/j.eswa.2017.03.031_bib0011","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"Hinton","year":"2006","journal-title":"Science"},{"key":"10.1016\/j.eswa.2017.03.031_bib0012","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.clinimag.2012.09.024","article-title":"Computer-aided detection\/diagnosis of breast cancer in mammography and ultrasound: A review","volume":"37","author":"Jalalian","year":"2013","journal-title":"Clinical Imaging"},{"key":"10.1016\/j.eswa.2017.03.031_bib0013","first-page":"1","article-title":"Melanoma recognition using extended set of descriptors and classifiers","author":"Kruk","year":"2015","journal-title":"Eurasip Journal on Image and Video Processing"},{"key":"10.1016\/j.eswa.2017.03.031_bib0014","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"Lee","year":"1999","journal-title":"Nature"},{"issue":"4","key":"10.1016\/j.eswa.2017.03.031_bib0015","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s10278-008-9144-x","article-title":"Comparison of two commercial CAD systems for digital mammography","volume":"22","author":"Leon","year":"2009","journal-title":"Journal of Digital Imaging"},{"key":"10.1016\/j.eswa.2017.03.031_bib0016","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.clinimag.2012.04.017","article-title":"Malignant lesions on mammography: Accuracy of two different computer-aided detection systems","volume":"37","author":"Lobbes","year":"2013","journal-title":"Clinical Imaging"},{"key":"10.1016\/j.eswa.2017.03.031_bib0017","series-title":"Image processing toolbox","year":"2015"},{"key":"10.1016\/j.eswa.2017.03.031_bib0018","doi-asserted-by":"crossref","first-page":"6079","DOI":"10.1088\/0031-9155\/53\/21\/013","article-title":"Selection of examples in case-based computer-aided decision systems","volume":"53","author":"Mazurowski","year":"2008","journal-title":"Physics in Medicine and Biology"},{"issue":"2","key":"10.1016\/j.eswa.2017.03.031_bib0019","doi-asserted-by":"crossref","first-page":"1968","DOI":"10.1016\/j.eswa.2011.08.050","article-title":"A very high performing system to discriminate tissues in mammograms as benign and malignant","volume":"39","author":"Nanni","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2017.03.031_bib0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2015\/909123","article-title":"Toward a general-purpose heterogeneous ensemble for pattern classification","volume":"2015","author":"Nanni","year":"2015","journal-title":"Computational Intelligence and Neuroscience"},{"issue":"1","key":"10.1016\/j.eswa.2017.03.031_bib0021","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/0165-1684(89)90090-X","article-title":"Entropic thresholding","volume":"16","author":"Pal","year":"1989","journal-title":"Signal Processing"},{"key":"10.1016\/j.eswa.2017.03.031_bib0022","series-title":"Learning with kernels","author":"Scholkopf","year":"2002"},{"key":"10.1016\/j.eswa.2017.03.031_bib0023","series-title":"Fractals, chaos, power laws","author":"Schroeder","year":"2006"},{"key":"10.1016\/j.eswa.2017.03.031_bib0024","series-title":"Morphological image analysis, principles and applications","author":"Soille","year":"2003"},{"key":"10.1016\/j.eswa.2017.03.031_bib0025","series-title":"Introduction to percolation theory","author":"Stauffer","year":"1985"},{"issue":"1","key":"10.1016\/j.eswa.2017.03.031_bib0026","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.eswa.2014.08.021","article-title":"Texture characterization based on the Kolmogorov\u2013Smirnov distance","volume":"42","author":"Swiderski","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2017.03.031_bib0027","series-title":"Introduction to data mining","author":"Tan","year":"2006"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417417301860?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417417301860?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T17:10:59Z","timestamp":1568913059000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417417301860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":27,"alternative-id":["S0957417417301860"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2017.03.031","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2017,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Novel methods of image description and ensemble of classifiers in application to mammogram analysis","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2017.03.031","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}