{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T16:26:52Z","timestamp":1756312012766},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2015,8,20]],"date-time":"2015-08-20T00:00:00Z","timestamp":1440028800000},"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":[[2015,10]]},"DOI":"10.1007\/s10916-015-0314-3","type":"journal-article","created":{"date-parts":[[2015,8,19]],"date-time":"2015-08-19T03:51:33Z","timestamp":1439956293000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Design of a Computer-Assisted System to Automatically Detect Cell Types Using ANA IIF Images for the Diagnosis of Autoimmune Diseases"],"prefix":"10.1007","volume":"39","author":[{"given":"Chung-Chuan","family":"Cheng","sequence":"first","affiliation":[]},{"given":"Chun-Feng","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Tsu-Yi","family":"Hsieh","sequence":"additional","affiliation":[]},{"given":"Yaw-Jen","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Jin-Shiuh","family":"Taur","sequence":"additional","affiliation":[]},{"given":"Yung-Fu","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,20]]},"reference":[{"key":"314_CR1","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/S0933-3657(02)00057-X","volume":"26","author":"P Perner","year":"2002","unstructured":"Perner, P., Perner, H., and M\u00fcller, B., Mining Knowledge for Hep-2 Cell Image Classification. Artif Intell Med 26:161\u2013173, 2002.","journal-title":"Artif Intell Med"},{"key":"314_CR2","doi-asserted-by":"crossref","unstructured":"Creemers, C., Guerti, K., Geerts, S., Cotthem, K.V., Ledda, A., Spruyt, V., HEp-2 cell pattern segmentation for the support of autoimmune disease diagnosis. Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, Article 28:1\u20135, 2011.","DOI":"10.1145\/2093698.2093726"},{"key":"314_CR3","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.compmedimag.2014.12.005","volume":"40","author":"S Tonti","year":"2015","unstructured":"Tonti, S., Cataldo, S. D., Bottino, A., and Ficarra, E., An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test. Comput Med Imag Grap 40:62\u201369, 2015. doi: 10.1016\/j.compmedimag.2014.12.005 .","journal-title":"Comput Med Imag Grap"},{"key":"314_CR4","first-page":"418","volume":"2008","author":"YL Huang","year":"2008","unstructured":"Huang, Y. L., Chung, C. W., Hsieh, T. Y., and Jao, Y. L., Adaptive automatic segmentation of HEp-2 cells in indirect immunofluorescence images. IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing 2008:418\u2013422, 2008. doi: 10.1109\/SUTC.2008.73 .","journal-title":"IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing"},{"key":"314_CR5","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/S1568-9972(03)00067-3","volume":"2","author":"U Sack","year":"2003","unstructured":"Sack, U., Knoechner, S., Warschkau, H., Pigla, U., and Emmerichm, M. K. F., Computer-assisted classification of HEp-2 immunofluorescence patterns in autoimmune diagnostics. Autoimmun Rev 2:298\u2013304, 2003.","journal-title":"Autoimmun Rev"},{"key":"314_CR6","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1109\/TITB.2008.2010855","volume":"13","author":"P Soda","year":"2009","unstructured":"Soda, P., and Iannellom, G., Aggregation of classifiers for staining pattern recognition in antinuclear autoantibodies analysis. IEEE Trans Inf Technol Biomed 13:322\u2013329, 2009.","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"314_CR7","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.autrev.2011.04.022","volume":"10","author":"A Rigon","year":"2011","unstructured":"Rigon, A., Buzzulini, F., Soda, P., Onofri, L., Arcarese, L., Iannello, G., and Afeltra, A., Novel opportunities in automated classification of antinuclear antibodies on HEp-2 cells. Autoimmun Rev 10:647\u2013652, 2011.","journal-title":"Autoimmun Rev"},{"key":"314_CR8","doi-asserted-by":"crossref","unstructured":"Elbischger, P., Geerts, S., Sander, K., and Ziervogel-Lukas, G., Algorithmic framework for HEP-2 fluorescence pattern classification to aid auto-immune diseases diagnosis. Proc IEEE Int Symp Biomed Imaging 562\u2013565, 2009","DOI":"10.1109\/ISBI.2009.5193109"},{"key":"314_CR9","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/978-3-642-28490-8_55","volume":"7197","author":"YC Huang","year":"2012","unstructured":"Huang, Y. C., Hsieh, T. Y., Chang, C. Y., Cheng, W. T., and Lin, Y. C., Huang YL (2012) HEp-2 cell images classification Bbased on textural and statistic features using self-organizing map. Lecture Notes in Computer Science 7197:529\u2013538, 2012.","journal-title":"Lecture Notes in Computer Science"},{"key":"314_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2012\/651058","volume":"2012","author":"J Voigt","year":"2012","unstructured":"Voigt, J., Krause, C., Rohw\u00e4der, E., Saschenbrecker, S., Hahn, M., Danckwardt, M., Feirer, C., Ens, K., Fechner, K., Barth, E., Martinetz, T., and St\u00f6cker, W., Automated indirect immunofluorescence evaluation of antinuclear autoantibodies on HEp-2 cells. Clinical and Developmental Immunology 2012:1\u20137, 2012. doi: 10.1155\/2012\/651058 .","journal-title":"Clinical and Developmental Immunology"},{"key":"314_CR11","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.autrev.2009.02.033","volume":"9","author":"R Hiemann","year":"2009","unstructured":"Hiemann, R., B\u00fcttner, T., Krieger, T., Roggenbuck, D., Sack, U., and Conrad, K., Challenges of automated screening and differentiation of non-organ specific autoantibodies on HEp-2 cells. Autoimmun Rev 9:17\u201322, 2009.","journal-title":"Autoimmun Rev"},{"key":"314_CR12","doi-asserted-by":"crossref","first-page":"S5","DOI":"10.1186\/1475-925X-12-S1-S5","volume":"12","author":"CC Cheng","year":"2013","unstructured":"Cheng, C. C., Hsieh, T. Y., Taur, J. S., and Chen, Y. F., An automatic segmentation and classification framework for anti-nuclear antibody image. Biomed Eng Online 12:S5, 2013. doi: 10.1186\/1475-925X-12-S1-S5 .","journal-title":"Biomed Eng Online"},{"key":"314_CR13","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1002\/hbm.460030304","volume":"3","author":"DL Collins","year":"2004","unstructured":"Collins, D. L., Holmes, C. J., Peters, T. M., and Evans, A. C., Automatic 3-D model-based neuroanatomical segmentation. Hum Brain Mapp 3:190\u2013205, 2004. doi: 10.1002\/hbm.460030304 .","journal-title":"Hum Brain Mapp"},{"key":"314_CR14","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.neuroimage.2010.06.017","volume":"53","author":"TT Brown","year":"2010","unstructured":"Brown, T. T., Kuperman, J. M., Erhart, M., White, N. S., Roddey, J. C., Shankaranarayanan, A., Han, E. T., Rettmann, D., and Dale, A. M., Prospective motion correction of high-resolution magnetic resonance imaging data in children. Neuroimage 53:139\u2013145, 2010.","journal-title":"Neuroimage"},{"key":"314_CR15","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"V Vapnik","year":"1995","unstructured":"Vapnik, V., The nature of statistical learning theory. Springer, New York, 1995."},{"key":"314_CR16","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1162\/089976601750399335","volume":"13","author":"CC Chang","year":"2001","unstructured":"Chang, C. C., and Lin, C. J., Training \u03bd-support vector classifiers: theory and algorithms. Neural Comput 13:2119\u20132147, 2001.","journal-title":"Neural Comput"},{"key":"314_CR17","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/34.87344","volume":"13","author":"L Vincent","year":"1991","unstructured":"Vincent, L., and Soille, P., Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations. IEEE Trans Pattern Anal Mach Intell 13:583\u2013598, 1991.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"314_CR18","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/0-306-47025-X_37","volume":"18","author":"R Lotufo","year":"2000","unstructured":"Lotufo, R., and Falcao, A., The ordered queue and the optimality of the watershed approaches. Mathematical Morphology and its Applications to Image and Signal Processing 18:341\u2013350, 2000. doi: 10.1007\/0-306-47025-X_37 .","journal-title":"Mathematical Morphology and its Applications to Image and Signal Processing"},{"key":"314_CR19","doi-asserted-by":"crossref","first-page":"R100","DOI":"10.1186\/gb-2006-7-10-r100","volume":"7","author":"AE Carpenter","year":"2006","unstructured":"Carpenter, A. E., Jones, T. R., Lamprecht, M. R., Clarke, C., Kang, I. H., Friman, O., Guertin, D. A., Chang, J. H., Lindquist, R. A., Moffat, J., Golland, P., and Sabatini, D. M., Cell Profiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7:R100, 2006. doi: 10.1186\/gb-2006-7-10-r100 .","journal-title":"Genome Biol"},{"key":"314_CR20","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1117\/1.482623","volume":"7","author":"JS Taur","year":"1998","unstructured":"Taur, J. S., and Tao, C. W., Texture classification using a fuzzy texture spectrum and neural networks. J. Electron. Imaging 7:29\u201335, 1998.","journal-title":"J. Electron. Imaging"},{"key":"314_CR21","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietikainen, M., and Maenpaa, T., Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24:971\u2013987, 2002.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"314_CR22","doi-asserted-by":"crossref","unstructured":"Perner, P., Image analysis and classification of HEp-2 cells in fluorescent images. Proceedings of the 14th International Conference on Pattern Recognition 1998 2:1677. 1998. doi: 10.1109\/ICPR.1998.712043","DOI":"10.1109\/ICPR.1998.712043"},{"key":"314_CR23","unstructured":"Wikipedia (2014) Flow cytometry. Wikipedia. http:\/\/en.wikipedia.org\/wiki\/Flow_cytometry#Flow_cytometers . Accessed 5 March 2014"},{"issue":"27","key":"314_CR24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C. C., and Lin, C. J., LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(27):1\u201327, 2011.","journal-title":"ACM Trans Intell Syst Technol"},{"key":"314_CR25","first-page":"e51211","volume":"88","author":"C Buchner","year":"2014","unstructured":"Buchner, C., Bryant, C., Eslami, A., and Lakos, G., Anti-Nuclear Antibody Screening Using HEp-2 Cells. J Vis Exp 88:e51211, 2014. doi: 10.3791\/51211 .","journal-title":"J Vis Exp"},{"key":"314_CR26","unstructured":"WIKIBOOKS (2014) An introduction to molecular biology\/cell cycle. WIKIBOOKS. https:\/\/en.wikibooks.org\/wiki\/An_Introduction_to_Molecular_Biology\/Cell_Cycle . Accessed 5 March 2014"},{"key":"314_CR27","doi-asserted-by":"crossref","unstructured":"Foggia, P., Percannella, G., Soda, P., Vento, M., Early experiences in mitotic cells recognition on HEp-2 slides. IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 38\u201343. 2010 doi: 10.1109\/CBMS.2010.6042611","DOI":"10.1109\/CBMS.2010.6042611"},{"key":"314_CR28","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.patrec.2014.03.011","volume":"45","author":"G Iannello","year":"2014","unstructured":"Iannello, G., Percannella, G., Soda, P., and Vento, M., Mitotic cells recognition in HEp-2 images. Pattern Recogn Lett 45:136\u2013144, 2014. doi: 10.1016\/j.patrec.2014.03.011 .","journal-title":"Pattern Recogn Lett"},{"key":"314_CR29","unstructured":"INOVADX (2014) NOVA View\u00ae*. INOVADX. http:\/\/www.inovadx.com\/store\/products\/nova-viewr\/462?pid=20 . Accessed 5 March 2014"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-015-0314-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-015-0314-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-015-0314-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T04:50:58Z","timestamp":1559451058000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-015-0314-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,20]]},"references-count":29,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2015,10]]}},"alternative-id":["314"],"URL":"https:\/\/doi.org\/10.1007\/s10916-015-0314-3","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,8,20]]},"article-number":"117"}}