{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T18:08:21Z","timestamp":1726250901916},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,12,4]],"date-time":"2014-12-04T00:00:00Z","timestamp":1417651200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2015,1]]},"DOI":"10.1007\/s10916-014-0171-5","type":"journal-article","created":{"date-parts":[[2014,12,3]],"date-time":"2014-12-03T03:14:45Z","timestamp":1417576485000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Three-Dimensional SVM with Latent Variable: Application for Detection of Lung Lesions in CT Images"],"prefix":"10.1007","volume":"39","author":[{"given":"Qingzhu","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenchao","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,12,4]]},"reference":[{"issue":"2","key":"171_CR1","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1109\/TMI.2011.2171357","volume":"31","author":"SH Sun","year":"2012","unstructured":"Sun S. H., Bauer C., Beichel R. Automated 3D Segmentation of Lungs with Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach. IEEE Transaction on Medical Imaging. 2012, 31(2): 449\u2013460","journal-title":"IEEE Transaction on Medical Imaging"},{"issue":"4","key":"171_CR2","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1587\/transinf.E96.D.772","volume":"E96-D","author":"K Suzuki","year":"2013","unstructured":"Suzuki K. Machine Learning in Computer-aided Diagnosis of the Thorax and Colon in CT: Survey. IEICE Transactions on Information and Systems. 2013, E96-D(4):772\u2013783","journal-title":"IEICE Transactions on Information and Systems"},{"issue":"4","key":"171_CR3","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.compbiomed.2012.12.004","volume":"43","author":"K Mohsen","year":"2013","unstructured":"Mohsen K., Zohreh A., Farshad T., et al. Lung Nodule Segmentation and Recognition Using SVM Classifier and Active Contour Modeling: A Complete Intelligent System. Computers in Biology and Medicine. 2013, 43(4): 287\u2013300","journal-title":"Computers in Biology and Medicine"},{"issue":"2","key":"171_CR4","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1007\/s10278-008-9147-7","volume":"22","author":"N Kim","year":"2009","unstructured":"Kim N., Seo J B., Lee Y. G., et al. Development of an automatic classification system for differentiation of obstructive lung disease using HRCT. Journal of Digital Imaging. 2009, 22(2):136\u2013148","journal-title":"Journal of Digital Imaging"},{"issue":"3","key":"171_CR5","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1016\/j.ijrobp.2013.11.216","volume":"88","author":"JK Rainer","year":"2014","unstructured":"Rainer J. K., Michael A., Steffen A., et al. Support Vector Machine-based Prediction of Local Tumor Control After Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer. International Journal of Radiation Oncology Biology Physics. 2014, 88(3): 732\u2013738","journal-title":"International Journal of Radiation Oncology Biology Physics"},{"issue":"4","key":"171_CR6","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1587\/transinf.E96.D.845","volume":"E96-D","author":"R Xu","year":"2013","unstructured":"Xu R. Hirano Y., Tachibana R., et al. A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography. IEEE Transactions on Information and Systems. 2013, E96-D(4):845\u2013855","journal-title":"IEEE Transactions on Information and Systems"},{"key":"171_CR7","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.asoc.2013.07.016","volume":"14","author":"Z Maciej","year":"2014","unstructured":"Maciej Z. Jakub M., Tomczak M., et al. Boosted SVM for Extracting Rules from Imbalanced Data in Application to Prediction of the Post-operative Life Expectancy in the Lung Cancer Patients. Applied Soft Computing Journal. 2014, 14:99\u2013108","journal-title":"Applied Soft Computing Journal."},{"issue":"4","key":"171_CR8","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1088\/0031-9155\/59\/4\/897","volume":"59","author":"X He","year":"2014","unstructured":"He X., Sahiner B., Gallas B. D., et al. Computerized Characterization of Lung Nodule Subtlety Using Thoracic CT Images. Physics in Medicine Biology. 2014, 59(4):897\u2013910","journal-title":"Physics in Medicine Biology"},{"issue":"18","key":"171_CR9","doi-asserted-by":"crossref","first-page":"S31","DOI":"10.1088\/0031-9155\/54\/18\/S03","volume":"54","author":"K Suzuki","year":"2009","unstructured":"Suzuki K. Supervised \u2018lesion-enhancement\u2019 Filter by Use of a Massive-training Artificial Neural Network (MTANN) in Computer-aided Diagnosis (CAD). Physics in Medicine and Biology. 2009, 54(18): S31-S45","journal-title":"Physics in Medicine and Biology"},{"issue":"9","key":"171_CR10","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1109\/TMI.2005.852048","volume":"24","author":"K Suzuki","year":"2005","unstructured":"Suzuki K., Li F., Sone S., et al. Computer-aided Diagnostic Scheme for Distinction between Benign and Malignant Nodules in Thoracic Low-dose CT by Use of Massive Training Artificial Neural Network. IEEE Transactions on Medical Imaging. 2005, 24(9):1138\u20131150","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"11","key":"171_CR11","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.1109\/TMI.2010.2053213","volume":"29","author":"K Suzuki","year":"2010","unstructured":"Suzuki K., Zhang J. and Xu J. Massive-training Artificial Neural Network Coupled with Laplacian-eigenfunction-based Dimensionality Reduction for Computer-aided Detection of Polyps in CT Colonography. IEEE Transactions on Medical Imaging. 2010, 29(11): 1907\u20131917","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"1","key":"171_CR12","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s11063-007-9041-1","volume":"26","author":"Z Wang","year":"2007","unstructured":"Wang Z., Chen S. New Least Squares Support Vector Machines based on Matrix Patterns. Neural Processing Letters. 2007, 26(1): 41\u201356","journal-title":"Neural Processing Letters"},{"issue":"3","key":"171_CR13","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1007\/s10916-010-9583-z","volume":"36","author":"QZ Wang","year":"2012","unstructured":"Wang Q. Z., Wang K., Li Y., et al. 3D Matrix Pattern based Support Vector Machines for Identifying Pulmonary Cancer in CT Scanned Images. Journal of Medical Systems. 2012, 36(3):1223\u20131228","journal-title":"Journal of Medical Systems"},{"issue":"1","key":"171_CR14","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.clinimag.2012.02.003","volume":"37","author":"QZ Wang","year":"2013","unstructured":"Wang Q. Z., Kang W. W., Wu C. M., et al. Computer-aided Detection of Lung Nodules by SVM based on 3D Matrix Patterns. Clinical Imaging. 2013, 37(1): 62\u201369","journal-title":"Clinical Imaging"},{"issue":"9","key":"171_CR15","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb P. F., Girshick R. B., McAllester D., et al. Object Detection with Discriminatively Trained Part-based Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010, 32(9): 1627\u20131645","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"12","key":"171_CR16","doi-asserted-by":"crossref","first-page":"3341","DOI":"10.1109\/TIP.2011.2158231","volume":"20","author":"K Yang","year":"2011","unstructured":"Yang K., Wang M., Hua X. S., et al. Assemble New Object Detector with Few Examples. IEEE Transactions on Image Processing. 2011, 20(12): 3341\u20133349","journal-title":"IEEE Transactions on Image Processing"},{"issue":"9","key":"171_CR17","first-page":"1","volume":"38","author":"CH Lu","year":"2014","unstructured":"Lu C. H., Zhu Z. M. and Gu X. F. An Intelligent System for Lung Cancer Diagnosis Using a New Genetic Algorithm Based Feature Selection Method. Journal of Medical Systems. 2014:38(9):1\u20139","journal-title":"Journal of Medical Systems"},{"issue":"10","key":"171_CR18","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1007\/s10916-014-0106-1","volume":"38","author":"CM Chao","year":"2014","unstructured":"Chao C. M., Yu Y. W., Cheng B. W., et al. Construction the Model on the Breast Cancer Survival Analysis Use Support Vector Machine, Logistic Regression and Decision Tree. Journal of Medical Systems. 2014:38(10):106\u2013112","journal-title":"Journal of Medical Systems"},{"issue":"5","key":"171_CR19","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/s10916-014-0020-6","volume":"38","author":"FB Mofrad","year":"2014","unstructured":"Mofrad F. B., Zoroofi R. A., Tehrani F. A., et al. Classification of Normal and Diseased Liver Shapes based on Spherical Harmonics Coefficients. Journal of Medical Systems. 2014:38(5):20\u201328","journal-title":"Journal of Medical Systems"},{"issue":"6","key":"171_CR20","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1007\/s10916-014-0058-5","volume":"38","author":"MY Chen","year":"2014","unstructured":"Chen M. Y. and Chou C. H. Applying Cybernetic Technology to Diagnose Human Pulmonary Sounds. Journal of Medical Systems. 2014,38(6): 58\u201367","journal-title":"Journal of Medical Systems"},{"issue":"2","key":"171_CR21","doi-asserted-by":"crossref","first-page":"9913","DOI":"10.1007\/s10916-012-9913-4","volume":"37","author":"H Ocak","year":"2013","unstructured":"Ocak H. A Medical Decision Support System based on Support Vector Machines and the Genetic Algorithm for the Evaluation of Fetal Well-Being. Journal of Medical Systems. 2013,37(2):9913\u20139921","journal-title":"Journal of Medical Systems"},{"key":"171_CR22","doi-asserted-by":"crossref","unstructured":"Ahmet T., Niyazi K. and Aydin A. Classification of Pulmonary Nodules by Using Hybrid Features. Computational and Mathematical Methods in Medicine. 2013:1\u201311","DOI":"10.1155\/2013\/148363"},{"issue":"3","key":"171_CR23","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.compmedimag.2013.12.003","volume":"38","author":"P Cao","year":"2014","unstructured":"Cao P., Yang J. Z., Zhao D., et al. Ensemble-based Hybrid Probabilistic Sampling for Imbalanced Data Learning in Lung Nodule CAD. Computerized Medical Imaging and Graphics. 2014, 38(3): 137\u2013150","journal-title":"Computerized Medical Imaging and Graphics"},{"issue":"6","key":"171_CR24","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1109\/34.927467","volume":"23","author":"TF Cootes","year":"2001","unstructured":"Cootes T. F., Edwards G. J., and Taylor C. J. Active Appearance Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001, 23(6): 681\u2013685","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"171_CR25","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1109\/TIP.2012.2186306","volume":"21","author":"XC Chen","year":"2012","unstructured":"Chen X. C., Udupa J. K., Bagci U., et al. Medical Image Segmentation by Combing Graph Cuts and Oriented Active Appearance Models. IEEE Transactions on Imaging Processing. 2012, 21(4): 2035\u20132046","journal-title":"IEEE Transactions on Imaging Processing"},{"issue":"2","key":"171_CR26","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1137\/110836067","volume":"34","author":"N Vannieuwenhoven","year":"2012","unstructured":"Vannieuwenhoven N., Vandebril R., and Meerbergen K. A New Truncation Strategy for the Higher-order Singular Value Decomposition. Siam Journal on Scientific Computing. 2012, 34, (2): 1027\u20131052","journal-title":"Siam Journal on Scientific Computing."},{"issue":"4","key":"171_CR27","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1137\/S0895479896305696","volume":"21","author":"DL Lieven","year":"2000","unstructured":"Lieven D. L., et al. A Multilinear Singular Value Decomposition. Siam Journal on Matrix Analysis and Application. 2000, 21 (4): 1253\u20131278","journal-title":"Siam Journal on Matrix Analysis and Application"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-014-0171-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-014-0171-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-014-0171-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T23:10:05Z","timestamp":1566083405000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-014-0171-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12,4]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,1]]}},"alternative-id":["171"],"URL":"https:\/\/doi.org\/10.1007\/s10916-014-0171-5","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,12,4]]},"article-number":"171"}}