{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T11:28:58Z","timestamp":1788521338017,"version":"build-2803163510"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2018,6,29]],"date-time":"2018-06-29T00:00:00Z","timestamp":1530230400000},"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":[[2018,8]]},"DOI":"10.1007\/s10916-018-0991-9","type":"journal-article","created":{"date-parts":[[2018,6,29]],"date-time":"2018-06-29T03:44:22Z","timestamp":1530243862000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":142,"title":["Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs"],"prefix":"10.1007","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0820-3761","authenticated-orcid":false,"given":"Szil\u00e1rd","family":"Vajda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandros","family":"Karargyris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Jaeger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.C.","family":"Santosh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sema","family":"Candemir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyun","family":"Xue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sameer","family":"Antani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George","family":"Thoma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,6,29]]},"reference":[{"issue":"3","key":"991_CR1","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s10278-009-9176-x","volume":"23","author":"S Banik","year":"2010","unstructured":"Banik, S., Rangayyan, R.M., and Boag, G.S., Automatic segmentation of the ribs, the vertebral column, and the spinal canal in pediatric computed tomographic images. J. Digit. Imaging 23(3):301\u2013322, 2010.","journal-title":"J. Digit. Imaging"},{"key":"991_CR2","doi-asserted-by":"publisher","unstructured":"Bar, Y., Diamant, I., Wolf, L., Lieberman, S., Konen, E., and Greenspan, H.: Chest pathology detection using deep learning with non-medical training. In: 12Th IEEE International Symposium on Biomedical Imaging, ISBI 2015, brooklyn, April 16-19, 2015, pp. 294\u2013297. https:\/\/doi.org\/10.1109\/ISBI.2015.7163871 , 2015","DOI":"10.1109\/ISBI.2015.7163871"},{"key":"991_CR3","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M., Neural networks for pattern recognition. New York: Oxford University Press, inc., 1995."},{"issue":"11","key":"991_CR4","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1109\/34.969114","volume":"23","author":"Y Boykov","year":"2001","unstructured":"Boykov, Y., Veksler, O., and Zabih, R., Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11):1222\u20131239, 2001.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"991_CR5","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TMI.2013.2290491","volume":"33","author":"S Candemir","year":"2014","unstructured":"Candemir, S., Jaeger, S., Palaniappan, K., Musco, J.P., Singh, R.K., Xue, Z., Karargyris, A., Antani, S., Thoma, G.R., and McDonald, C.J., Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans. Med. Imaging 33(2):577\u2013590, 2014.","journal-title":"IEEE Trans. Med. Imaging"},{"key":"991_CR6","unstructured":"Chatzichristofis, S.A., and Boutalis, Y.S.: Cedd: Color and edge directivity descriptor: A compact descriptor for image indexing and retrieval. In: Proceedings of the 6th International Conference on Computer Vision Systems, ICVS\u201908, pp. 312\u2013322. Springer, Berlin, 2008."},{"key":"991_CR7","unstructured":"Chatzichristofis, S.A., and Boutalis, Y.S.: Fcth: Fuzzy color and texture histogram - a low level feature for accurate image retrieval. In: Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS \u201908, pp. 191\u2013196. IEEE Computer Society, Washington, 2008."},{"key":"991_CR8","doi-asserted-by":"publisher","unstructured":"Chauhan, A., Chauhan, D., and Rout, C.: Role of Gist and PHOG Features in Computer-Aided Diagnosis of Tuberculosis without Segmentation. PLoS ONE 9(11): e112980. https:\/\/doi.org\/10.1371\/journal.pone.0112980 , 2014","DOI":"10.1371\/journal.pone.0112980"},{"key":"991_CR9","unstructured":"Dalal, N., and Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 20\u201326 june 2005, San diego, pp. 886\u2013893, 2005."},{"issue":"1","key":"991_CR10","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1007\/s10278-008-9158-4","volume":"23","author":"A Depeursinge","year":"2010","unstructured":"Depeursinge, A., Iavindrasana, J., Hidki, A., Cohen, G., Geissb\u00fchler, A., Platon, A., Poletti, P., and M\u00fcller, H., Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization. J. Digit. Imaging 23(1):18\u201330, 2010.","journal-title":"J. Digit. Imaging"},{"issue":"4\u20135","key":"991_CR11","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.compmedimag.2007.02.002","volume":"31","author":"K Doi","year":"2007","unstructured":"Doi, K., Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Comput. Med. Imaging Graph. 31(4\u20135):198\u2013211, 2007. https:\/\/doi.org\/10.1016\/j.compmedimag.2007.02.002 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0895611107000262 . Computer-aided Diagnosis (CAD) and Image-guided Decision Support.","journal-title":"Comput. Med. Imaging Graph."},{"issue":"8","key":"991_CR12","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett, T., An introduction to ROC analysis. Pattern Recogn. Lett. 27(8):861\u2013874, 2006.","journal-title":"Pattern Recogn. Lett."},{"key":"991_CR13","unstructured":"Frangi, A.F., Niessen, W.J., Vincken, K.L., and Viergever, M.A.: Muliscale vessel enhancement filtering. In: Medical Image Computing and Computer-assisted Intervention - MICCAI\u201998, first international conference, Cambridge, October 11-13, 1998, pp. 130\u2013137, 1998"},{"issue":"12","key":"991_CR14","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1109\/42.974918","volume":"20","author":"B Ginneken van","year":"2001","unstructured":"van Ginneken, B., ter Haar Romeny, B.M., and Viergever, M.A., Computer-aided diagnosis in chest radiography: A survey. IEEE Trans. Med. Imaging 20(12):1228\u20131241, 2001.","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"991_CR15","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.ejrad.2009.05.061","volume":"72","author":"B Ginneken van","year":"2009","unstructured":"van Ginneken, B., Hogeweg, L., and Prokop, M., Computer-aided diagnosis in chest radiography: Beyond nodules. Eur. J. Radiol. 72(2):226\u2013230, 2009. https:\/\/doi.org\/10.1016\/j.ejrad.2009.05.061 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0720048X09003581 . Digital Radiography.","journal-title":"Eur. J. Radiol."},{"key":"991_CR16","volume-title":"Digital image processing","author":"RC Gonzalez","year":"2006","unstructured":"Gonzalez, R.C., and Woods, R.E., Digital image processing. 3 ed. Upper Saddle River: Prentice-Hall, Inc., 2006.","edition":"3 ed."},{"key":"991_CR17","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., and Elisseeff, A., An introduction to variable and feature selection. J. Mach. Learn. Res. 3: 1157\u20131182, 2003. http:\/\/dl.acm.org\/citation.cfm?id=944919.944968 .","journal-title":"J. Mach. Learn. Res."},{"issue":"5786","key":"991_CR18","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"G Hinton","year":"2006","unstructured":"Hinton, G., and Salakhutdinov, R., Reducing the dimensionality of data with neural networks. Science 313 (5786):504\u2013507, 2006.","journal-title":"Science"},{"issue":"2","key":"991_CR19","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1148\/radiol.09091308","volume":"255","author":"B Hoop de","year":"2010","unstructured":"de Hoop, B., Schaefer-Prokop, C., Gietema, H.A., de Jong, P.A., van Ginneken, B., van Klaveren, R.J., and Prokop, M., Screening for lung cancer with digital chest radiography: Sensitivity and number of secondary work-up ct examinations. Radiology 255(2):629\u2013637, 2010.","journal-title":"Radiology"},{"key":"991_CR20","unstructured":"Howarth, P., Yavlinsky, A., Heesch, D., and Ruger, S.: Medical image retrieval using texture, locality and colour. In: Peters, C., Clough, P., Gonzalo, J., Jones, G., Kluck, M., and Magnini, B. (Eds.) Multilingual Information Access for Text, Speech and Images, Lecture Notes in Computer Science, Vol. 3491, pp. 740\u2013749. Springer, Berlin , 2005."},{"key":"991_CR21","unstructured":"Hwang, S., Kim, H., Jeong, J., and Kim, H.: A novel approach for tuberculosis screening based on deep convolutional neural networks. In: Medical imaging 2016: Computer-aided diagnosis, San diego, 27 february - 3 march 2016, p. 97852w, 2016"},{"key":"991_CR22","unstructured":"Islam, M.T., Aowal, M.A., Minhaz, A.T., and Ashraf, K.: Abnormality detection and localization in chest x-rays using deep convolutional neural networks. CoRR arXiv: abs\/1705.09850 , 2017"},{"issue":"2","key":"991_CR23","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1109\/TMI.2013.2284099","volume":"33","author":"S Jaeger","year":"2014","unstructured":"Jaeger, S., Karargyris, A., Candemir, S., Folio, L., Siegelman, J., Callaghan, F.M., Xue, Z., Palaniappan, K., Singh, R.K., Antani, S., Thoma, G.R., Wang, Y., Lu, P., and McDonald, C.J., Automatic tuberculosis screening using chest radiographs. IEEE Trans. Med. Imaging 33(2):233\u2013245, 2014.","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"991_CR24","first-page":"89","volume":"3","author":"S Jaeger","year":"2013","unstructured":"Jaeger, S., Karargyris, A., Candemir, S., Siegelman, J., Folio, L., Antani, S., and Thoma, G., Automatic screening for tuberculosis in chest radiographs: a survey. Quant. Imaging Med. Surg. 3(2):89, 2013.","journal-title":"Quant. Imaging Med. Surg."},{"issue":"1","key":"991_CR25","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s11548-015-1242-x","volume":"11","author":"A Karargyris","year":"2016","unstructured":"Karargyris, A., Siegelman, J., Tzortzis, D., Jaeger, S., Candemir, S., Xue, Z., Santosh, K.C., Vajda, S., Antani, S.K., Folio, L., and Thoma, G.R., Combination of texture and shape features to detect pulmonary abnormalities in digital chest x-rays. Int. J. Comput. Assist. Radiol. Surg. 11(1):99\u2013106, 2016. https:\/\/doi.org\/10.1007\/s11548-015-1242-x .","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"4\u20135","key":"991_CR26","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.compmedimag.2007.02.003","volume":"31","author":"S Katsuragawa","year":"2007","unstructured":"Katsuragawa, S., and Doi, K., Computer-aided diagnosis in chest radiography. Comput. Med. Imaging Graph. 31(4\u20135):212\u2013223, 2007. https:\/\/doi.org\/10.1016\/j.compmedimag.2007.02.003 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0895611107000286 . Computer-aided Diagnosis (CAD) and Image-guided Decision Support.","journal-title":"Comput. Med. Imaging Graph."},{"key":"991_CR27","unstructured":"KC, S., Vajda, S., Antani, S., and Thoma, G.: Automatic pulmonary abnormality screening using thoracic edge map. In: Int. Symposium on computer-based medical systems, pp. 360\u2013361, 2015"},{"key":"991_CR28","unstructured":"Kim, H.E., and Hwang, S.: Scale-invariant feature learning using deconvolutional neural networks for weakly-supervised semantic segmentation. CoRR arXiv: abs\/1602.04984 , 2016"},{"key":"991_CR29","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.media.2016.07.007","volume":"35","author":"T Kooi","year":"2017","unstructured":"Kooi, T., Litjens, G.J.S., van Ginneken, B., Gubern-m\u00e9rida, A., S\u00e1nchez, C.I., Mann, R., den Heeten, A., and Karssemeijer, N., Large scale deep learning for computer aided detection of mammographic lesions. Med. Image Anal. 35:303\u2013312, 2017. https:\/\/doi.org\/10.1016\/j.media.2016.07.007 .","journal-title":"Med. Image Anal."},{"issue":"4\u20135","key":"991_CR30","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.compmedimag.2007.02.005","volume":"31","author":"Q Li","year":"2007","unstructured":"Li, Q., Recent progress in computer-aided diagnosis of lung nodules on thin-section {CT}. Comput. Med. Imaging Graph. 31(4\u20135):248\u2013257, 2007. https:\/\/doi.org\/10.1016\/j.compmedimag.2007.02.005 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0895611107000316 . Computer-aided Diagnosis (CAD) and Image-guided Decision Support.","journal-title":"Comput. Med. Imaging Graph."},{"key":"991_CR31","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","volume":"42","author":"GJS Litjens","year":"2017","unstructured":"Litjens, G.J.S., Kooi, T., Bejnordi, B.E., Setio, A.A.A., Ciompi, F., Ghafoorian, M., van der Laak, J.A.W.M., van Ginneken, B., and S\u00e1nchez, C.I., A survey on deep learning in medical image analysis. Med. Image Anal. 42:60\u201388, 2017. https:\/\/doi.org\/10.1016\/j.media.2017.07.005 .","journal-title":"Med. Image Anal."},{"issue":"5","key":"991_CR32","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1109\/TPAMI.2010.147","volume":"33","author":"C Liu","year":"2011","unstructured":"Liu, C., Yuen, J., and Torralba, A., Sift flow: Dense correspondence across scenes and its applications. IEEE Trans. Pattern Anal. Mach. Intell. 33(5):978\u2013994, 2011.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"991_CR33","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1148\/81.2.185","volume":"81","author":"GS Lodwick","year":"1963","unstructured":"Lodwick, G.S., Keats, T.E., and Dorst, J.P., The coding of roentgen images for computer analysis as applied to lung cancer. Radiology 81(2):185\u2013200, 1963.","journal-title":"Radiology"},{"key":"991_CR34","unstructured":"Lux, M.: Caliph & emir: Mpeg-7 photo annotation and retrieval. In: Proceedings of the 17th ACM International Conference on Multimedia, MM \u201909, pp. 925\u2013926. ACM, New York, 2009."},{"key":"991_CR35","unstructured":"Maduskar, P., Hogeweg, L., Philipsen, R., and van Ginneken, B., 2013"},{"issue":"3","key":"991_CR36","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1148\/radiol.2413051535","volume":"241","author":"HP McAdams","year":"2006","unstructured":"McAdams, H.P., Samei, E., James Dobbins, I., Tourassi, G.D., and Ravin, C.E., Recent advances in chest radiography. Radiology 241(3):663\u2013683, 2006.","journal-title":"Radiology"},{"key":"991_CR37","unstructured":"Murphy, K.P., Torralba, A., Eaton, D., and Freeman, W.T.: Object detection and localization using local and global features. In: Toward Category-level Object Recognition, pp. 382\u2013400, 2006"},{"issue":"2","key":"991_CR38","first-page":"364","volume":"184","author":"NA Obuchowski","year":"2005","unstructured":"Obuchowski, N.A., Roc analysis. Fundamentals of Clinical Research for Radiologists 184(2):364\u2013372, 2005.","journal-title":"Fundamentals of Clinical Research for Radiologists"},{"issue":"1","key":"991_CR39","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/0031-3203(95)00067-4","volume":"29","author":"T Ojala","year":"1996","unstructured":"Ojala, T., Pietik\u00e4inen, M., and Harwood, D., A comparative study of texture measures with classification based on featured distributions. Pattern Recogn. 29(1):51\u201359, 1996.","journal-title":"Pattern Recogn."},{"key":"991_CR40","unstructured":"Organization, W.H.: Global tuberculosis report. http:\/\/apps.who.int\/iris\/bitstream\/10665\/75938\/1\/9789241564502_eng.pdf . Online; accessed 23-March-2015, 2012"},{"key":"991_CR41","unstructured":"Organization, W.H.: Global tuberculosis report. http:\/\/apps.who.int\/iris\/bitstream\/10665\/137094\/1\/9789241564809_eng.pdf . Online; accessed 20-April-2018, 2017"},{"issue":"3","key":"991_CR42","first-page":"131","volume":"3","author":"MM Rahman","year":"2014","unstructured":"Rahman, M.M., You, D., Simpson, M.S., Antani, S., Demner-fushman, D., and Thoma, G.R., Interactive cross and multimodal biomedical image retrieval based on automatic region-of-interest (ROI) identification and classification. IJMIR 3(3):131\u2013146, 2014.","journal-title":"IJMIR"},{"issue":"19","key":"991_CR43","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y Saeys","year":"2007","unstructured":"Saeys, Y., Inza, I.N., and Larra\u00f1aga, P., A review of feature selection techniques in bioinformatics. Bioinformatics 23(19):2507\u20132517, 2007.","journal-title":"Bioinformatics"},{"issue":"9","key":"991_CR44","doi-asserted-by":"publisher","first-page":"1637","DOI":"10.1007\/s11548-016-1359-6","volume":"11","author":"KC Santosh","year":"2016","unstructured":"Santosh, K.C., Vajda, S., Antani, S.K., and Thoma, G.R., Edge map analysis in chest x-rays for automatic pulmonary abnormality screening. Int. J. Comput. Assist. Radiol. Surg. 11(9):1637\u20131646, 2016. https:\/\/doi.org\/10.1007\/s11548-016-1359-6 .","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"991_CR45","doi-asserted-by":"publisher","first-page":"71","DOI":"10.2214\/ajr.174.1.1740071","volume":"174","author":"J Shiraishi","year":"2000","unstructured":"Shiraishi, J., Katsuragawa, S., Ikezoe, J., Matsumoto, T., Kobayashi, T., Komatsu, K., Matsui, M., Fujita, H., Kodera, Y., and Doi, K., Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists detection of pulmonary nodules. Am. J. Roentgenol. 174:71\u201374, 2000.","journal-title":"Am. J. Roentgenol."},{"issue":"1","key":"991_CR46","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.acra.2006.09.057","volume":"14","author":"J Shiraishi","year":"2007","unstructured":"Shiraishi, J., Li, F., and Doi, K., Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs. Acad. Radiol. 14(1):28\u201337, 2007. https:\/\/doi.org\/10.1016\/j.acra.2006.09.057 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1076633206005599 .","journal-title":"Acad. Radiol."},{"issue":"6","key":"991_CR47","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1053\/j.semnuclmed.2011.06.004","volume":"41","author":"J Shiraishi","year":"2011","unstructured":"Shiraishi, J., Li, Q., Appelbaum, D., and Doi, K., Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin. Nucl. Med. 41(6):449\u2013462, 2011. https:\/\/doi.org\/10.1053\/j.semnuclmed.2011.06.004 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0001299811000742 . Image Perception in Nuclear Medicine.","journal-title":"Semin. Nucl. Med."},{"key":"991_CR48","unstructured":"Singh, S., and Sharma, M.: Texture analysis experiments with meastex and vistex benchmarks. In: Singh, S., Murshed, N., and Kropatsch, W. (Eds.) Advances in Pattern Recognition \u2014 ICAPR 2001, Lecture Notes in Computer Science, pp. 419\u2013426. Springer, Berlin, 2001."},{"issue":"3","key":"991_CR49","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1093\/bioinformatics\/btp621","volume":"26","author":"P Smialowski","year":"2010","unstructured":"Smialowski, P., Frishman, D., and Kramer, S., Pitfalls of supervised feature selection. Bioinformatics 26(3):440\u2013443 , 2010.","journal-title":"Bioinformatics"},{"issue":"0","key":"991_CR50","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.patrec.2015.02.001","volume":"58","author":"S Vajda","year":"2015","unstructured":"Vajda, S., Rangoni, Y., and Cecotti, H., Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recogn. Lett. 58 (0):23\u201328, 2015.","journal-title":"Pattern Recogn. Lett."},{"key":"991_CR51","first-page":"13","volume":"2018","author":"SH Wang","year":"2018","unstructured":"Wang, S.H., Muhammad, K., Lv, Y., Sui, Y., Han, L., and Zhang, Y.D., Identification of alcoholism based on wavelet renyi entropy and three-segment encoded jaya algorithm. Complexity 2018:13, 2018.","journal-title":"Complexity"},{"key":"991_CR52","unstructured":"Weinberger, S., Cockrill, B., and Mandel, J.: Principles of pulmonary medicine. Elsevier Health Sciences, 2013"},{"issue":"7","key":"991_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10916-016-0525-2","volume":"40","author":"Y Zhang","year":"2016","unstructured":"Zhang, Y., Sun, Y., Phillips, P., Liu, G., Zhou, X., and Wang, S., A multilayer perceptron based smart pathological brain detection system by fractional fourier entropy. J. Med. Syst. 40(7):1\u201311, 2016.","journal-title":"J. Med. Syst."},{"issue":"1","key":"991_CR54","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/s10278-009-9185-9","volume":"23","author":"Y Zhu","year":"2010","unstructured":"Zhu, Y., Tan, Y., Hua, Y., Wang, M., Zhang, G., and Zhang, J., Feature selection and performance evaluation of support vector machine (svm)-based classifier for differentiating benign and malignant pulmonary nodules by computed tomography. J. Digit. Imaging 23(1):51\u201365, 2010.","journal-title":"J. Digit. Imaging"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-018-0991-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-018-0991-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-018-0991-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T16:44:29Z","timestamp":1720370669000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-018-0991-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,29]]},"references-count":54,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["991"],"URL":"https:\/\/doi.org\/10.1007\/s10916-018-0991-9","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,29]]},"assertion":[{"value":"9 October 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 June 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"Authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interests"}},{"value":"All images used in this study were collected prior to this study during routine clinical care. They were de-identified at source and have been exempted from review (NIH IRB# 5357).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Ethical approval"}}],"article-number":"146"}}