{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T21:30:41Z","timestamp":1772659841129,"version":"3.50.1"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2018,7,24]],"date-time":"2018-07-24T00:00:00Z","timestamp":1532390400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004541","name":"Ministry of Human Resource Development","doi-asserted-by":"publisher","award":["MHC-02-23-200-428"],"award-info":[{"award-number":["MHC-02-23-200-428"]}],"id":[{"id":"10.13039\/501100004541","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s11042-018-6418-2","type":"journal-article","created":{"date-parts":[[2018,7,24]],"date-time":"2018-07-24T11:36:15Z","timestamp":1532432175000},"page":"6559-6579","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Segmentation of ischemic stroke lesion from 3d mr images using random forest"],"prefix":"10.1007","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2675-4073","authenticated-orcid":false,"given":"Anjali","family":"Gautam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balasubramanian","family":"Raman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,24]]},"reference":[{"key":"6418_CR1","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/j.neuroimage.2016.09.068","volume":"147","author":"B Alexander","year":"2017","unstructured":"Alexander B, Murray AL, Loh WY, Matthews LG, Adamson C, Beare R, Chen J, Kelly CE, Rees S, Warfield SK, Anderson PJ (2017) A new neonatal cortical and subcortical brain atlas: the Melbourne Children\u2019s Regional Infant Brain (m-CRIB) atlas. NeuroImage 147:841\u2013851","journal-title":"NeuroImage"},{"key":"6418_CR2","first-page":"610","volume-title":"Lecture Notes in Computer Science","author":"Petronella Anbeek","year":"2003","unstructured":"Anbeek P, Vincken K, van Osch M, Bisschops B, Viergever M, van der Grond J (2003) Automated white matter lesion segmentation by voxel probability estimation. In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer Berlin Heidelberg, pp 610\u2013617"},{"issue":"1","key":"6418_CR3","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1002\/(SICI)1522-2594(200001)43:1<52::AID-MRM7>3.0.CO;2-5","volume":"43","author":"J Bernarding","year":"2000","unstructured":"Bernarding J, Braun J, Hohmann J, Mansmann U, Hoehn-Berlage M, Stapf C, Wolf KJ, Tolxdorff T (2000) Histogram-based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry. Magn Reson Med 43(1):52\u201361","journal-title":"Magn Reson Med"},{"issue":"88","key":"6418_CR4","doi-asserted-by":"publisher","first-page":"9341","DOI":"10.1007\/s11042-017-4867-7","volume":"77","author":"I Bisio","year":"2018","unstructured":"Bisio I, Fedeli A, Lavagetto F, Pastorino M, Randazzo A, Sciarrone A, Tavanti E (2018) A numerical study concerning brain stroke detection by microwave imaging systems. Multimed Tools Appl 77(88):9341\u20139363","journal-title":"Multimed Tools Appl"},{"issue":"7","key":"6418_CR5","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/S1474-4422(04)00800-2","volume":"3","author":"R Bonita","year":"2004","unstructured":"Bonita R, Mendis S, Truelsen T, Bogousslavsky J, Toole J, Yatsu F (2004) The global stroke initiative. Lancet Neurol 3(7):391\u2013393","journal-title":"Lancet Neurol"},{"issue":"6","key":"6418_CR6","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1080\/1025584021000011082","volume":"5","author":"J Braun","year":"2002","unstructured":"Braun J, Bernarding J, Koennecke HC, Wolf KJ, Tolxdorff T (2002) Feature-based, automated segmentation of cerebral infarct patterns using T2- and Diffusion-weighted imaging. Comput Methods Biomech Biomed Engin 5(6):411\u2013420","journal-title":"Comput Methods Biomech Biomed Engin"},{"issue":"1","key":"6418_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","journal-title":"Mach Learn"},{"issue":"4","key":"6418_CR8","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1109\/TCOM.1983.1095851","volume":"31","author":"P Burt","year":"1983","unstructured":"Burt P, Adelson E (1983) The Laplacian pyramid as a compact image code. IEEE Trans Commun 31(4):532\u2013540","journal-title":"IEEE Trans Commun"},{"issue":"6","key":"6418_CR9","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1002\/1522-2586(200012)12:6<842::AID-JMRI7>3.0.CO;2-5","volume":"12","author":"RA Carano","year":"2000","unstructured":"Carano RA, Li F, Irie K, Helmer KG, Silva MD, Fisher M, Sotak CH (2000) Multispectral analysis of the temporal evolution of cerebral ischemia in the rat brain. J Magn Reson Imaging 12(6):842\u2013858","journal-title":"J Magn Reson Imaging"},{"issue":"1","key":"6418_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BF01385685","volume":"66","author":"V Caselles","year":"1993","unstructured":"Caselles V, Catt\u00e9 F, Coll T, Dibos F (1993) A geometric model for active contours in image processing. Numer Math 66(1):1\u201331","journal-title":"Numer Math"},{"issue":"1","key":"6418_CR11","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1007979827043","volume":"22","author":"V Caselles","year":"1997","unstructured":"Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vis 22(1):61\u201379","journal-title":"Int J Comput Vis"},{"issue":"2","key":"6418_CR12","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1161\/01.STR.0000109769.22917.B0","volume":"35","author":"J Castillo","year":"2004","unstructured":"Castillo J, Leira R, Garc\u00eda MM, Serena J, Blanco M, D\u00e1valos A (2004) Blood pressure decrease during the acute phase of ischemic stroke is associated with brain injury and poor stroke outcome. Stroke 35(2):520\u2013526","journal-title":"Stroke"},{"key":"6418_CR13","doi-asserted-by":"crossref","unstructured":"Chawla M, Sharma S, Sivaswamy J, Kishore LT (2009) A method for automatic detection and classification of stroke from brain CT images. In: Proc of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp 3581\u20133584","DOI":"10.1109\/IEMBS.2009.5335289"},{"key":"6418_CR14","unstructured":"Chen L, Bentley P, Rueckert D (2015) A novel framework for sub-acute stroke lesion segmentation based on random forest. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 9\u201312"},{"key":"6418_CR15","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.neucom.2014.01.077","volume":"150","author":"D Chyzhyk","year":"2015","unstructured":"Chyzhyk D, Dacosta-Aguayo R, Matar\u00f3 M, Gra\u00f1a M (2015) An active learning approach for stroke lesion segmentation on multimodal MRI data. Neurocomputing 150:26\u201336","journal-title":"Neurocomputing"},{"key":"6418_CR16","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.neuroimage.2012.07.044","volume":"73","author":"J Crinion","year":"2013","unstructured":"Crinion J, Holland AL, Copland DA, Thompson CK, Hillis AE (2013) Neuroimaging in aphasia treatment research: quantifying brain lesions after stroke. Neuroimage 73:208\u2013214","journal-title":"Neuroimage"},{"key":"6418_CR17","unstructured":"Crowley JL (1981) A representation for visual information. PhD thesis, Carnegie Mellon University"},{"issue":"4","key":"6418_CR18","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1109\/TSMCA.2012.2223670","volume":"43","author":"J Cui","year":"2013","unstructured":"Cui J, Liu Y, Xu Y, Zhao H, Zha H (2013) Tracking generic human motion via fusion of low-and high-dimensional approaches. IEEE Trans Syst Man Cybern Syst 43(4):996\u20131002","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"3","key":"6418_CR19","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1109\/18.382009","volume":"41","author":"DL Donoho","year":"1995","unstructured":"Donoho DL (1995) De-noising by soft-thresholding. IEEE Trans Inf Theory 41 (3):613\u2013627","journal-title":"IEEE Trans Inf Theory"},{"issue":"3","key":"6418_CR20","doi-asserted-by":"publisher","first-page":"2321","DOI":"10.1007\/s11042-013-1553-2","volume":"72","author":"S Gao","year":"2014","unstructured":"Gao S, Yang J, Yan Y (2014) A novel multiphase active contour model for inhomogeneous image segmentation. Multimed Tools Appl 72(3):2321\u201337","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"6418_CR21","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1137\/0515056","volume":"15","author":"A Grossmann","year":"1984","unstructured":"Grossmann A, Morlet J (1984) Decomposition of Hardy functions into square integrable wavelets of constant shape. SIAM J Math Anal 15(4):723\u2013736","journal-title":"SIAM J Math Anal"},{"key":"6418_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-59757-2_14","volume-title":"Characterization of storke lesions using a histrogram-based data analysis including diffusion-and perfusion-weighted imaging","author":"A Grzesik","year":"2000","unstructured":"Grzesik A, Bernarding J, Braun J, Koennecke HC, Wolf KJ, Tolxdorff T (2000) Characterization of storke lesions using a histrogram-based data analysis including diffusion-and perfusion-weighted imaging. Bildverarbeitung f\u00fcr die Medizin, Springer"},{"key":"6418_CR23","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1016\/j.nicl.2017.12.022","volume":"17","author":"R Guerrero","year":"2018","unstructured":"Guerrero R, Qin C, Oktay O, Bowles C, Chen L, Joules R, Wolz R, Vald\u00e9s-Hern\u00e1ndez MC, Dickie DA, Wardlaw J, Rueckert D (2018) White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks. Neuroimage Clin 17:918\u2013934","journal-title":"Neuroimage Clin"},{"issue":"4","key":"6418_CR24","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.dsp.2008.08.002","volume":"19","author":"\u0130 G\u00fcler","year":"2009","unstructured":"G\u00fcler \u0130, Demirhan A, Karak\u0131\u015f R (2009) Interpretation of MR images using self-organizing maps and knowledge-based expert systems. Digit Signal Process 19(4):668\u2013677","journal-title":"Digit Signal Process"},{"key":"6418_CR25","unstructured":"Haeck T, Maes F, Suetens P (2015) ISLES Challenge 2015: Automated model-based segmentation of ischemic stroke in MR images. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 47\u201350"},{"key":"6418_CR26","unstructured":"Heart Disease and Stroke Statistics 2017 At-a-Glance. https:\/\/www.heart.org\/idc\/groups\/ahamah-public\/@wcm\/@sop\/@smd\/documents\/downloadable\/ucm_491265.eps . Accessed 27 January 2017"},{"key":"6418_CR27","doi-asserted-by":"crossref","unstructured":"Hillman GR, Chang CW, Ying H, Kent TA, Yen J (1995) Automatic system for brain MRI analysis using a novel combination of fuzzy rule-based and automatic clustering techniques. In: Proceedings of medical imaging 1995: Image processing, SPIE, vol 2434, pp 16\u201326","DOI":"10.1117\/12.208723"},{"issue":"9","key":"6418_CR28","doi-asserted-by":"publisher","first-page":"2165","DOI":"10.1161\/01.STR.0000026865.52610.5B","volume":"33","author":"YC Hong","year":"2002","unstructured":"Hong YC, Lee JT, Kim H, Kwon HJ (2002) Air pollution. Stroke 33 (9):2165\u20132169","journal-title":"Stroke"},{"issue":"2","key":"6418_CR29","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/S1052-5149(03)00016-9","volume":"13","author":"A Hutter","year":"2003","unstructured":"Hutter A, Schwetye KE, Bierhals AJ, McKinstry RC (2003) Brain neoplasms: epidemiology, diagnosis, and prospects for cost-effective imaging. Neuroimaging Clin N Am 13(2):237\u2013250","journal-title":"Neuroimaging Clin N Am"},{"issue":"4","key":"6418_CR30","doi-asserted-by":"publisher","first-page":"950","DOI":"10.1161\/01.STR.32.4.950","volume":"32","author":"MA Jacobs","year":"2001","unstructured":"Jacobs MA, Mitsias P, Soltanian-Zadeh H, Santhakumar S, Ghanei A, Hammond R, Peck DJ, Chopp M, Patel S (2001) Multiparametric MRI tissue characterization in clinical stroke with correlation to clinical outcome. Stroke 32 (4):950\u2013957","journal-title":"Stroke"},{"key":"6418_CR31","unstructured":"Jenkinson M, Pechaud M, Smith S (2005) BET2: MR-Based estimation of brain, skull and scalp surfaces. In: Eleventh annual meeting of the organization for human brain mapping, vol 17, pp 167"},{"key":"6418_CR32","doi-asserted-by":"crossref","unstructured":"Kabir Y, Dojat M, Scherrer B, Forbes F, Garbay C (2007) Multimodal MRI segmentation of ischemic stroke lesions. In: Proc of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp 1595\u20131598","DOI":"10.1109\/IEMBS.2007.4352610"},{"key":"6418_CR33","unstructured":"Kamnitsas K, Chen L, Ledig C, Rueckert D, Glocker B (2015) Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 13\u201316"},{"issue":"4","key":"6418_CR34","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/S0146-664X(81)80015-9","volume":"15","author":"R Kohler","year":"1981","unstructured":"Kohler R (1981) A segmentation system based on thresholding. Comput Graph Image Process 15(4):319\u2013338","journal-title":"Comput Graph Image Process"},{"key":"6418_CR35","unstructured":"Liu Y, Nie L, Han L, Zhang L, Rosenblum DS (2015) Action2activity: Recognizing Complex Activities from Sensor Data. In: IJCAI, vol 2015, pp 1617\u20131623"},{"key":"6418_CR36","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.neucom.2015.08.096","volume":"181","author":"Y Liu","year":"2016","unstructured":"Liu Y, Nie L, Liu L, Rosenblum DS (2016) From action to activity: sensor-based activity recognition. Neurocomputing 181:108\u201315","journal-title":"Neurocomputing"},{"key":"6418_CR37","doi-asserted-by":"crossref","unstructured":"Liu Y, Zhang L, Nie L, Yan Y, Rosenblum DS (2016) Fortune teller: Predicting your career path. In: AAAI 2016, vol 2016, pp 201\u2013207","DOI":"10.1609\/aaai.v30i1.9969"},{"key":"6418_CR38","unstructured":"Liu Y, Zheng Y, Liang Y, Liu S, Rosenblum DS (2016) Urban water quality prediction based on multi-task multi-view learning"},{"key":"6418_CR39","volume-title":"The atlas of heart disease and stroke","author":"J Mackay","year":"2004","unstructured":"Mackay J, Mensah GA, Mendis S, Greenlund K (2004) The atlas of heart disease and stroke. World Health Organization, Geneva"},{"key":"6418_CR40","unstructured":"Mahmood Q, Basit A (2015) Automatic ischemic stroke lesion segmentation in multi-spectral MRI images using random forests classifier. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 43\u201346"},{"key":"6418_CR41","unstructured":"Maier O, Wilms M, Handels H (2015) Random forests with selected features for stroke lesion segmentation. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 17\u201321"},{"key":"6418_CR42","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.media.2016.07.009","volume":"35","author":"O Maier","year":"2017","unstructured":"Maier O, Menze BH, von der Gablentz J, H\u00e4ni L, Heinrich MP, Liebrand M, Winzeck S, Basit A, Bentley P, Chen L, Christiaens D (2017) ISLES 2015-A Public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Med Image Anal 35:250\u2013269","journal-title":"Med Image Anal"},{"key":"6418_CR43","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.neuroimage.2014.04.056","volume":"98","author":"J Mitra","year":"2014","unstructured":"Mitra J, Bourgeat P, Fripp J, Ghose S, Rose S, Salvado O, Connelly A, Campbell B, Palmer S, Sharma G, Christensen S (2014) Lesion segmentation from multimodal MRI using random forest following ischemic stroke. NeuroImage 98:324\u2013335","journal-title":"NeuroImage"},{"issue":"8","key":"6418_CR44","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1161\/01.STR.30.8.1591","volume":"30","author":"T Neumann-Haefelin","year":"1999","unstructured":"Neumann-Haefelin T, Wittsack HJ, Wenserski F, Siebler M, Seitz RJ, M\u00f6dder U, Freund HJ (1999) Diffusion-and perfusion-weighted MRI. Stroke 30(8):1591\u20131597","journal-title":"Stroke"},{"issue":"10","key":"6418_CR45","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1212\/01.wnl.0000256366.86353.ff","volume":"68","author":"MW Parsons","year":"2007","unstructured":"Parsons MW, Pepper EM, Bateman GA, Wang Y, Levi CR (2007) Identification of the penumbra and infarct core on hyperacute noncontrast and perfusion CT. Neurology 68(10):730\u2013736","journal-title":"Neurology"},{"key":"6418_CR46","volume-title":"Plunkett\u2019s health care industry almanac","author":"JW Plunkett","year":"2008","unstructured":"Plunkett JW (2008) Plunkett\u2019s health care industry almanac. Plunkett Research, Ltd, Houston"},{"issue":"6","key":"6418_CR47","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.1016\/j.measurement.2013.01.010","volume":"46","author":"NH Rajini","year":"2013","unstructured":"Rajini NH, Bhavani R (2013) Computer aided detection of ischemic stroke using segmentation and texture features. Measurement 46(6):1865\u20131874","journal-title":"Measurement"},{"issue":"1","key":"6418_CR48","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.nicl.2012.10.003","volume":"1","author":"I Rekik","year":"2012","unstructured":"Rekik I, Allassonni\u00e8re S, Carpenter TK, Wardlaw JM (2012) Medical image analysis methods in MR\/CT-imaged acute-subacute ischemic stroke lesion: segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal. Neuroimage Clin 1(1):164\u2013178","journal-title":"Neuroimage Clin"},{"key":"6418_CR49","unstructured":"Reza SM, Pei L, Iftekharuddin KM (2015) Ischemic stroke lesion segmentation using local gradient and texture features. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 23\u201326"},{"key":"6418_CR50","unstructured":"Robben D, Christiaens D, Rangarajan JR, Gelderblom J, Joris P, Maes F, Suetens P (2015) ISLES Challenge 2015: A voxel-wise, cascaded classification approach to stroke lesion segmentation. In: Proc of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015, Ischemic Stroke Lesion Segmentation, pp 27\u201330"},{"key":"6418_CR51","first-page":"453","volume-title":"Smart Innovation, Systems and Technologies","author":"Sudipta Roy","year":"2014","unstructured":"Roy S, Chatterjee K, Bandyopadhyay SK (2014) Segmentation of acute brain stroke from MRI of brain image using power law transformation with accuracy estimation. In: Advanced computing, networking and informatics, springer international publishing, vol 1, pp 453\u2013461"},{"issue":"3","key":"6418_CR52","first-page":"436","volume":"24","author":"PW Schaefer","year":"2003","unstructured":"Schaefer PW, Ozsunar Y, He J, Hamberg LM, Hunter GJ, Sorensen AG, Koroshetz WJ, Gonzalez RG (2003) Assessing tissue viability with MR diffusion and perfusion imaging. AJNR Am J Neuroradiol 24(3):436\u2013443","journal-title":"AJNR Am J Neuroradiol"},{"issue":"1","key":"6418_CR53","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1212\/WNL.49.1.113","volume":"49","author":"G Schlaug","year":"1997","unstructured":"Schlaug G, Siewert B, Benfield A, Edelman RR, Warach S (1997) Time course of the apparent diffusion coefficient (ADC) abnormality in human stroke. Neurology 49(1):113\u2013119","journal-title":"Neurology"},{"issue":"4","key":"6418_CR54","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1016\/j.neuroimage.2008.03.028","volume":"41","author":"ML Seghier","year":"2008","unstructured":"Seghier ML, Ramlackhansingh A, Crinion J, Leff AP, Price CJ (2008) Lesion identification using unified segmentation-normalisation models and fuzzy clustering. Neuroimage 41(4):1253\u20131266","journal-title":"Neuroimage"},{"issue":"6","key":"6418_CR55","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1109\/MSP.2005.1550194","volume":"22","author":"IW Selesnick","year":"2005","unstructured":"Selesnick IW, Baraniuk RG, Kingsbury NC (2005) The dual-tree complex wavelet transform. IEEE Signal Process Mag 22(6):123\u2013151","journal-title":"IEEE Signal Process Mag"},{"issue":"6","key":"6418_CR56","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.1161\/01.STR.0000072998.70087.E9","volume":"34","author":"LC Shih","year":"2003","unstructured":"Shih LC, Saver JL, Alger JR, Starkman S, Leary MC, Vinuela F, Duckwiler G, Gobin YP, Jahan R, Villablanca JP, Vespa PM (2003) Perfusion-weighted magnetic resonance imaging thresholds identifying core, irreversibly infarcted tissue. Stroke 34(6):1425\u20131430","journal-title":"Stroke"},{"key":"6418_CR57","unstructured":"Stroke Statistics | Internet Stroke Center. http:\/\/www.strokecenter.org\/patients\/about-stroke\/stroke-statistics\/ . Accessed 30 January 2017"},{"issue":"1","key":"6418_CR58","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1109\/TIP.2014.2372615","volume":"24","author":"X Yang","year":"2015","unstructured":"Yang X, Gao X, Tao D, Li X, Li J (2015) An efficient MRF embedded level set method for image segmentation. IEEE Trans Image Process 24(1):9\u201321","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"6418_CR59","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G (2006) User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage 31(3):1116\u20131128","journal-title":"Neuroimage"},{"issue":"6","key":"6418_CR60","doi-asserted-by":"publisher","first-page":"7869","DOI":"10.1007\/s11042-016-3399-x","volume":"76","author":"X Zhang","year":"2017","unstructured":"Zhang X, Sun Y, Wang G, Guo Q, Zhang C, Chen B (2017) Improved fuzzy clustering algorithm with non-local information for image segmentation. Multimed Tools Appl 76(6):7869\u20137895","journal-title":"Multimed Tools Appl"},{"key":"6418_CR61","doi-asserted-by":"crossref","unstructured":"Zhang R, Zhao L, Lou W, Abrigo JM, Mok VC, Chu WC, Wang D, Shi L (2018) Automatic Segmentation of Acute Ischemic Stroke from DWI using 3D Fully Convolutional DenseNets. IEEE Trans Med Imaging","DOI":"10.1109\/TMI.2018.2821244"},{"issue":"9","key":"6418_CR62","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/34.537343","volume":"18","author":"SC Zhu","year":"1996","unstructured":"Zhu SC, Yuille A (1996) Region competition: Unifying snakes, region growing, and bayes\/MDL for multiband image segmentation. IEEE Trans Pattern Anal Mach Intell 18(9):884\u2013900","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6418-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6418-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6418-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,28]],"date-time":"2022-08-28T03:32:52Z","timestamp":1661657572000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6418-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,24]]},"references-count":62,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["6418"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6418-2","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,24]]},"assertion":[{"value":"3 December 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2018","order":4,"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":"All authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interests"}}]}}