{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T02:57:26Z","timestamp":1725850646473},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319262253"},{"type":"electronic","value":"9783319262277"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-26227-7_8","type":"book-chapter","created":{"date-parts":[[2016,3,4]],"date-time":"2016-03-04T14:54:29Z","timestamp":1457103269000},"page":"81-90","source":"Crossref","is-referenced-by-count":1,"title":["Stroke Tissue Pattern Recognition Based on CT Texture Analysis"],"prefix":"10.1007","author":[{"given":"Grzegorz","family":"Ostrek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Artur","family":"Nowakowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magdalena","family":"Jasionowska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Artur","family":"Przelaskowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazimierz","family":"Szopi\u0144ski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,3,5]]},"reference":[{"issue":"2","key":"8_CR1","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1148\/radiol.2352040262","volume":"235","author":"JM Wardlaw","year":"2005","unstructured":"Wardlaw, J.M., Mielke, O.: Early signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatment-systematic review. Radiology 235(2), 444\u2013453 (2005)","journal-title":"Radiology"},{"issue":"9","key":"8_CR2","doi-asserted-by":"publisher","first-page":"2485","DOI":"10.1161\/STROKEAHA.107.484592","volume":"38","author":"KW Muir","year":"2007","unstructured":"Muir, K.W., et al.: Can the ischemic penumbra be identified on noncontrast CT of acute stroke? Stroke 38(9), 2485\u20132490 (2007)","journal-title":"Stroke"},{"issue":"4","key":"8_CR3","doi-asserted-by":"publisher","first-page":"1140","DOI":"10.1016\/j.neubiorev.2012.01.004","volume":"36","author":"G Orr\u00f9","year":"2012","unstructured":"Orr\u00f9, G., et al.: Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neurosci. Biobehav. R. 36(4), 1140\u20131152 (2012)","journal-title":"Neurosci. Biobehav. R."},{"key":"8_CR4","first-page":"447","volume-title":"Advances in Intelligent and Soft Computing","author":"Artur Przelaskowski","year":"2009","unstructured":"Przelaskowski, A. et al.: Stroke slicer for CT-based automatic detection of acute ischemia. In: Kurzynski, Marek, Wozniak, Michal (eds.) Comput. Recognit. Syst. 3. Advances in Intelligent Systems and Computing, vol. 57, pp. 447\u2013454. Springer, Heidelberg (2009)"},{"key":"8_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-642-31196-3_11","volume-title":"Inf. Technol. Biomed.","author":"G Ostrek","year":"2012","unstructured":"Ostrek, G., Przelaskowski, A.: Automatic early stroke recognition algorithm in CT images. In: Pi\u0119tka, E., Kawa, J. (eds.) Inf. Technol. Biomed. Lecture Notes in Computer Science, vol. 7339, pp. 101\u2013109. Springer, Heidelberg (2012)"},{"issue":"3","key":"8_CR6","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1111\/ijs.12252","volume":"9","author":"WS Ragoschke-Schumm","year":"2014","unstructured":"Ragoschke-Schumm, W.S., et al.: Translation of the \u2018time is brain\u2019 concept into clinical practice: focus on prehospital stroke management. Int. J. Stroke 9(3), 333\u2013340 (2014)","journal-title":"Int. J. Stroke"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"The European Stroke Organisation (ESO) Executive committee: Guidelines for management of ischaemic stroke and transient ischaemic attack 2008. Cerebrovasc. Dis. 25(5), 457\u2013507 (2008)","DOI":"10.1159\/000131083"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Hudyma, E., Terlikowski, G.: Computer-aided detecting of early strokes and its evaluation on the base of CT images. In: Proceedings of the International Multiconference on Computer Science and Information Technology (IMCSIT 2008), pp. 251\u2013254 (2008)","DOI":"10.1109\/IMCSIT.2008.4747247"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Chawla, M., et al.: A method for automatic detection and classification of stroke from brain CT images. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), pp. 3581\u20133584 (2009)","DOI":"10.1109\/IEMBS.2009.5335289"},{"key":"8_CR10","unstructured":"Yongbum, L., Noriyuki, T., Du-Yih T.: Computer-aided diagnosis for acute stroke in CT images, Dr. L. Saba (ed.) Computed Tomography\u2014Clinical Applications (2012). ISBN: 978-953-307-378-1"},{"issue":"1","key":"8_CR11","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s12194-011-0143-0","volume":"5","author":"T Noriyuki","year":"2012","unstructured":"Noriyuki, T., et al.: Computer-aided detection scheme for identification of hypoattenuation of acute stroke in unenhanced CT. J. Radiol. Phys. Tech. 5(1), 98\u2013104 (2012)","journal-title":"J. Radiol. Phys. Tech."},{"issue":"6","key":"8_CR12","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.1016\/j.measurement.2013.01.010","volume":"46","author":"N Hema Rajini","year":"2013","unstructured":"Hema Rajini, N., Bhavani, R.: Computer aided detection of ischemic stroke using segmentation and texture features. Measurement 46(6), 1865\u20131874 (2013)","journal-title":"Measurement"},{"issue":"9","key":"8_CR13","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1097\/RLI.0b013e31828d8403","volume":"48","author":"WL Nowinski","year":"2013","unstructured":"Nowinski, W.L., et al.: Automatic detection, localization, and volume estimation of ischemic infarcts in noncontrast computed tomographic scans: method and preliminary results. Invest. Radiol. 48(9), 661\u2013670 (2013)","journal-title":"Invest. Radiol."},{"issue":"7","key":"8_CR14","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/j.compbiomed.2011.05.001","volume":"41","author":"F-H Tang","year":"2011","unstructured":"Tang, F.-H., et al.: An image feature approach for computer-aided detection of ischemic stroke. Comp. Biol. Med. 41(7), 529\u2013536 (2011)","journal-title":"Comp. Biol. Med."},{"issue":"1","key":"8_CR15","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s12194-013-0234-1","volume":"7","author":"N Takahashi","year":"2014","unstructured":"Takahashi, N., et al.: An automated detection method for the MCA dot sign of acute stroke in unenhanced CT. Radiol. Phys. Technol. 7(1), 79\u201388 (2014)","journal-title":"Radiol. Phys. Technol."},{"issue":"8","key":"8_CR16","doi-asserted-by":"publisher","first-page":"e102048","DOI":"10.1371\/journal.pone.0102048","volume":"9","author":"WL Nowinski","year":"2014","unstructured":"Nowinski, W.L., et al.: Population-based stroke atlas for outcome prediction: method and preliminary results for ischemic stroke from CT. PLoS ONE 9(8), e102048 (2014)","journal-title":"PLoS ONE"},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/978-3-642-13105-9_8","volume":"69","author":"M Jasionowska","year":"2010","unstructured":"Jasionowska, M., et al.: A two-step method for detection of architectural distortions in mammograms. Inf. Technol. Biomed., Adv. Soft Comput. 69, 73\u201384 (2010)","journal-title":"Inf. Technol. Biomed., Adv. Soft Comput."},{"key":"8_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/978-3-642-31196-3_8","volume-title":"Information Technologies in Biomedicine","author":"Magdalena Jasionowska","year":"2012","unstructured":"Jasionowska, Magdalena, Przelaskowski, Artur: Subtle directional mammographic findings in multiscale domain. In: Pi\u0119tka, Ewa, Kawa, Jacek (eds.) Information Technologies in Biomedicine. Lecture Notes in Computer Science, vol. 7339, pp. 77\u201384. Springer, Heidelberg (2012)"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Caruana, R., Niculescu-Mizil, A.: An empirical comparison of supervised learning algorithms. In: Proceedings of the 23rd International Conference on Machine Learning, ACM (2006)","DOI":"10.1145\/1143844.1143865"},{"key":"8_CR20","unstructured":"Freund, Y., Schapire, R.E., Experiments with a new boosting algorithm, ICML 96, (1996)"},{"key":"8_CR21","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1214\/aos\/1016218223","volume":"38","author":"J Friedman","year":"2000","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting. Ann. Stat. 38, 337\u2013374 (2000)","journal-title":"Ann. Stat."},{"key":"8_CR22","first-page":"35","volume":"2709","author":"RA McDonald","year":"2003","unstructured":"McDonald, R.A., Hand, D.J., Eckley, I.A.: An empirical comparison of three boosting algorithms on real data sets with artificial class noise. MCS, LNCS 2709, 35\u201344 (2003)","journal-title":"MCS, LNCS"},{"key":"8_CR23","first-page":"762","volume":"2","author":"A Torralba","year":"2004","unstructured":"Torralba, A., Murphy, K., Freeman, W.: Sharing features: efficient boosting procedures for multiclass object detection. CVPR04 2, 762\u2013769 (2004)","journal-title":"CVPR04"},{"issue":"3","key":"8_CR24","doi-asserted-by":"publisher","first-page":"1803","DOI":"10.1152\/jn.00484.2010","volume":"104","author":"I Valmianski","year":"2010","unstructured":"Valmianski, I., et al.: Automatic identification of fluorescently labeled brain cells for rapid functional imaging. J. Neurophysiol. 104(3), 1803\u20131811 (2010)","journal-title":"J. Neurophysiol."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-26227-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T17:03:08Z","timestamp":1559408588000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-26227-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319262253","9783319262277"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-26227-7_8","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016]]}}}