{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T03:26:31Z","timestamp":1648869991250},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,2,9]],"date-time":"2017-02-09T00:00:00Z","timestamp":1486598400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1007\/s10044-017-0599-6","type":"journal-article","created":{"date-parts":[[2017,2,9]],"date-time":"2017-02-09T03:26:59Z","timestamp":1486610819000},"page":"1209-1225","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Synergies between texture features: an abstract feature based framework for meningioma subtypes classification"],"prefix":"10.1007","volume":"20","author":[{"given":"Hammad","family":"Majeed","sequence":"first","affiliation":[]},{"given":"Kiran","family":"Fatima","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,2,9]]},"reference":[{"issue":"1","key":"599_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.1365-2559.2011.03814.x","volume":"61","author":"S Al-Janabi","year":"2012","unstructured":"Al-Janabi S, Huisman A, Van Diest PJ (2012) Digital pathology: current status and future perspectives. Histopathology 61(1):1\u20139","journal-title":"Histopathology"},{"issue":"6","key":"599_CR2","doi-asserted-by":"crossref","first-page":"2043","DOI":"10.1016\/j.patcog.2010.01.005","volume":"43","author":"O Al-Kadi","year":"2010","unstructured":"Al-Kadi O (2010) Texture measures combination for improved meningioma classification of histopathological images. Pattern Recogn 43(6):2043\u20132053","journal-title":"Pattern Recogn"},{"key":"599_CR3","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.compmedimag.2014.05.013","volume":"41","author":"OS Al-Kadi","year":"2014","unstructured":"Al-Kadi OS (2014) A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours. Comput Med Imaging Graph 41:67\u201379","journal-title":"Comput Med Imaging Graph"},{"issue":"4","key":"599_CR4","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.compbiomed.2006.08.016","volume":"37","author":"R Behroozmand","year":"2007","unstructured":"Behroozmand R, Almasganj F (2007) Optimal selection of wavelet-packet-based features using genetic algorithm in pathological assessment of patients\u2019 speech signal with unilateral vocal fold paralysis. Comput Biol Med 37(4):474\u2013485","journal-title":"Comput Biol Med"},{"key":"599_CR5","volume-title":"The Dana guide to brain health","author":"F Bloom","year":"2002","unstructured":"Bloom F, Beal F, Kupfer D (2002) The Dana guide to brain health, 1st edn. Simon and Schuster Dana Press, New York","edition":"1"},{"key":"599_CR6","doi-asserted-by":"crossref","unstructured":"Boser B, Guyon I, Vapnik V (1992) A training algorithm for optimal margin classifiers. In: Proceedings of the fifth annual workshop on Computational learning theory, pp 144\u2013152. ACM","DOI":"10.1145\/130385.130401"},{"issue":"1","key":"599_CR7","doi-asserted-by":"crossref","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"},{"key":"599_CR8","doi-asserted-by":"crossref","unstructured":"Chekkoury A, Khurd P, Ni J, Bahlmann C, Kamen A, Patel A, Grady L, Singh M, Groher M, Navab N, et\u00a0al (2012) Automated malignancy detection in breast histopathological images. In: SPIE Medical Imaging, pp 831,515\u2013831,515. International Society for Optics and Photonics","DOI":"10.1117\/12.911643"},{"issue":"2","key":"599_CR9","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.artmed.2011.04.010","volume":"52","author":"A Cruz-Roa","year":"2011","unstructured":"Cruz-Roa A, Caicedo JC, Gonz\u00e1lez FA (2011) Visual pattern mining in histology image collections using bag of features. Artif Intell Med 52(2):91\u2013106","journal-title":"Artif Intell Med"},{"issue":"11","key":"599_CR10","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.17485\/ijst\/2011\/v4i11.35","volume":"4","author":"S Deepa","year":"2011","unstructured":"Deepa S, Devi BA (2011) A survey on artificial intelligence approaches for medical image classification. Indian J Sci Technol 4(11):1583\u20131595","journal-title":"Indian J Sci Technol"},{"issue":"12","key":"599_CR11","doi-asserted-by":"publisher","first-page":"e114,885","DOI":"10.1371\/journal.pone.0114885","volume":"9","author":"F Dong","year":"2014","unstructured":"Dong F, Irshad H, Oh EY, Lerwill MF, Brachtel EF, Jones NC, Knoblauch NW, Montaser-Kouhsari L, Johnson NB, Rao LKF, Faulkner-Jones B, Wilbur DC, Schnitt SJ, Beck AH (2014) Computational pathology to discriminate benign from malignant intraductal proliferations of the breast. PLoS ONE 9(12):e114,885. doi: 10.1371\/journal.pone.0114885","journal-title":"PLoS ONE"},{"issue":"7","key":"599_CR12","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1109\/TBME.2011.2110648","volume":"58","author":"MM Dundar","year":"2011","unstructured":"Dundar MM, Badve S, Bilgin G, Raykar V, Jain R, Sertel O, Gurcan MN (2011) Computerized classification of intraductal breast lesions using histopathological images. IEEE Trans Biomed Eng 58(7):1977\u20131984","journal-title":"IEEE Trans Biomed Eng"},{"issue":"11","key":"599_CR13","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1002\/jemt.22409","volume":"77","author":"K Fatima","year":"2014","unstructured":"Fatima K, Arooj A, Majeed H (2014) A new texture and shape based technique for improving meningioma classification. Microsc Res Tech 77(11):862\u2013873","journal-title":"Microsc Res Tech"},{"issue":"8","key":"599_CR14","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1016\/j.patcog.2011.01.017","volume":"44","author":"M Galar","year":"2011","unstructured":"Galar M, Fern\u00e1ndez A, Barrenechea E, Bustince H, Herrera F (2011) An overview of ensemble methods for binary classifiers in multi-class problems: experimental study on one-vs-one and one-vs-all schemes. Pattern Recogn 44(8):1761\u20131776","journal-title":"Pattern Recogn"},{"key":"599_CR15","isbn-type":"print","volume-title":"Woods, digital image processing","author":"RC Gonzalez","year":"2002","unstructured":"Gonzalez RC, Richard E (2002) Woods, digital image processing. Prentice Hall Press, Englewood Cliffs. ISBN: 0-201-18075-8","ISBN":"http:\/\/id.crossref.org\/isbn\/0201180758"},{"issue":"10","key":"599_CR16","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.1109\/TMI.2013.2265334","volume":"32","author":"L Gorelick","year":"2013","unstructured":"Gorelick L, Veksler O, Gaed M, Gomez J, Moussa M, Bauman G, Fenster A, Ward A (2013) Prostate histopathology: Learning tissue component histograms for cancer detection and classification. IEEE Trans Med Imaging 32(10):1804\u20131818","journal-title":"IEEE Trans Med Imaging"},{"key":"599_CR17","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1109\/RBME.2009.2034865","volume":"2","author":"M Gurcan","year":"2009","unstructured":"Gurcan M, Boucheron L, Can A, Madabhushi A, Rajpoot N, Yener B (2009) Histopathological image analysis: a review. IEEE Rev Biomed Eng 2:147\u2013171","journal-title":"IEEE Rev Biomed Eng"},{"key":"599_CR18","volume-title":"Correlation-based feature selection for machine learning. Technical report","author":"MA Hall","year":"1999","unstructured":"Hall MA (1999) Correlation-based feature selection for machine learning. Technical report. The University of Waikato, Hamilton"},{"issue":"2","key":"599_CR19","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"CW Hsu","year":"2002","unstructured":"Hsu CW, Lin CJ (2002) A comparison of methods for multiclass support vector machines. IEEE Trans Neural Netw 13(2):415\u2013425","journal-title":"IEEE Trans Neural Netw"},{"issue":"4","key":"599_CR20","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1016\/j.patcog.2009.10.014","volume":"43","author":"PW Huang","year":"2010","unstructured":"Huang PW, Lai YH (2010) Effective segmentation and classification for HCC biopsy images. Pattern Recogn 43(4):1550\u20131563","journal-title":"Pattern Recogn"},{"issue":"1","key":"599_CR21","doi-asserted-by":"crossref","first-page":"10","DOI":"10.4103\/2153-3539.112695","volume":"4","author":"H Irshad","year":"2013","unstructured":"Irshad H (2013) Automated mitosis detection in histopathology using morphological and multi-channel statistics features. J Pathol Inf 4(1):10","journal-title":"J Pathol Inf"},{"issue":"5","key":"599_CR22","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.compmedimag.2014.04.003","volume":"38","author":"H Irshad","year":"2014","unstructured":"Irshad H, Gouaillard A, Roux L, Racoceanu D (2014) Multispectral band selection and spatial characterization: application to mitosis detection in breast cancer histopathology. Comput Med Imaging Graph 38(5):390\u2013402","journal-title":"Comput Med Imaging Graph"},{"key":"599_CR23","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1109\/RBME.2013.2295804","volume":"7","author":"H Irshad","year":"2014","unstructured":"Irshad H, Veillard A, Roux L, Racoceanu D (2014) Methods for nuclei detection, segmentation, and classification in digital histopathology: a review, current status and future potential. IEEE Rev Biomed Eng 7:97\u2013114. doi: 10.1109\/RBME.2013.2295804","journal-title":"IEEE Rev Biomed Eng"},{"issue":"3","key":"599_CR24","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1111\/biom.12164","volume":"70","author":"S Jung","year":"2014","unstructured":"Jung S, Qiao X (2014) A statistical approach to set classification by feature selection with applications to classification of histopathology images. Biometrics 70(3):536\u2013545","journal-title":"Biometrics"},{"key":"599_CR25","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1016\/j.renene.2015.09.068","volume":"87","author":"W Cava La","year":"2016","unstructured":"La Cava W, Danai K, Spector L, Fleming P, Wright A, Lackner M (2016) Automatic identification of wind turbine models using evolutionary multiobjective optimization. Renew Energy 87:892\u2013902","journal-title":"Renew Energy"},{"issue":"4","key":"599_CR26","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1007\/s10278-013-9572-0","volume":"26","author":"GR Lauro","year":"2013","unstructured":"Lauro GR, Cable W, Lesniak A, Tseytlin E, McHugh J, Parwani A, Pantanowitz L (2013) Digital pathology consultations\u2014a new era in digital imaging, challenges and practical applications. J Digit Imaging 26(4):668\u2013677","journal-title":"J Digit Imaging"},{"key":"599_CR27","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-84628-784-8","volume-title":"Meningiomas: diagnosis, treatment, and outcome","author":"J Lee","year":"2009","unstructured":"Lee J (2009) Meningiomas: diagnosis, treatment, and outcome. Springer, Berlin"},{"key":"599_CR28","volume-title":"Meningiomas: diagnosis, treatment, and outcome","author":"JH Lee","year":"2008","unstructured":"Lee JH (2008) Meningiomas: diagnosis, treatment, and outcome. Springer, Berlin"},{"key":"599_CR29","unstructured":"Liu H, Setiono R, et\u00a0al (1996) A probabilistic approach to feature selection\u2014a filter solution. In: ICML, vol 96, pp 319\u2013327. Citeseer"},{"issue":"8","key":"599_CR30","doi-asserted-by":"crossref","first-page":"2894","DOI":"10.1016\/j.patcog.2012.01.021","volume":"45","author":"N Lom\u00e9nie","year":"2012","unstructured":"Lom\u00e9nie N, Racoceanu D (2012) Point set morphological filtering and semantic spatial configuration modeling: application to microscopic image and bio-structure analysis. Pattern Recogn 45(8):2894\u20132911","journal-title":"Pattern Recogn"},{"issue":"2","key":"599_CR31","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s00401-007-0243-4","volume":"114","author":"DN Louis","year":"2007","unstructured":"Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW, Kleihues P (2007) The 2007 who classification of tumours of the central nervous system. Acta Neuropathol 114(2):97\u2013109","journal-title":"Acta Neuropathol"},{"issue":"7","key":"599_CR32","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"SG Mallat","year":"1989","unstructured":"Mallat SG (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11(7):674\u2013693","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"599_CR33","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1109\/TITB.2008.2007301","volume":"13","author":"U Maulik","year":"2009","unstructured":"Maulik U (2009) Medical image segmentation using genetic algorithms. IEEE Trans Inf Technol Biomed 13(2):166\u2013173","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"7","key":"599_CR34","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1109\/TMC.2011.141","volume":"11","author":"S Milner","year":"2012","unstructured":"Milner S, Davis C, Zhang H, Llorca J (2012) Nature-inspired self-organization, control, and optimization in heterogeneous wireless networks. IEEE Trans Mob Comput 11(7):1207\u20131222","journal-title":"IEEE Trans Mob Comput"},{"issue":"8","key":"599_CR35","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226\u20131238","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"599_CR36","unstructured":"Qureshi H, Rajpoot N, Nattkemper T, Hans V (2009) A robust adaptive wavelet-based method for classification of meningioma histology images. In: Proceedings MICCAI\u20192009 Workshop on Optical Tissue Image Analysis in Microscopy, Histology, and Endoscopy (OPTIMHisE)"},{"key":"599_CR37","unstructured":"Serra J (1982) Image analysis and mathematical morphology. Academic Press, London [Review by Fensen EB in J Microsc 131:258 (1983)] Cell size, Staining Microscopy Technique, Mathematics, General article Review article (PMBD 185707888)"},{"issue":"1","key":"599_CR38","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1023\/A:1008102926703","volume":"35","author":"K Siddiqi","year":"1999","unstructured":"Siddiqi K, Shokoufandeh A, Dickinson SJ, Zucker SW (1999) Shock graphs and shape matching. Int J Comput Vision 35(1):13\u201332","journal-title":"Int J Comput Vision"},{"issue":"3","key":"599_CR39","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/0734-189X(86)90004-6","volume":"35","author":"SR Sternberg","year":"1986","unstructured":"Sternberg SR (1986) Grayscale morphology. Comput Vision Graph Image Process 35(3):333\u2013355","journal-title":"Comput Vision Graph Image Process"},{"issue":"11","key":"599_CR40","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1109\/83.725367","volume":"7","author":"X Tang","year":"1998","unstructured":"Tang X (1998) Texture information in run-length matrices. IEEE Trans Image Process 7(11):1602\u20131609","journal-title":"IEEE Trans Image Process"},{"key":"599_CR41","doi-asserted-by":"crossref","unstructured":"Tax DM, Duin RP (2002) Using two-class classifiers for multiclass classification. In: Pattern Recognition, 2002. Proceedings. 16th International Conference on, vol 2, pp 124\u2013127. IEEE","DOI":"10.1109\/ICPR.2002.1048253"},{"key":"599_CR42","volume-title":"The nature of statistical learning theory","author":"V Vapnik","year":"1999","unstructured":"Vapnik V (1999) The nature of statistical learning theory. Springer, Berlin"},{"issue":"3","key":"599_CR43","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s11060-010-0386-3","volume":"99","author":"J Wiemels","year":"2010","unstructured":"Wiemels J, Wrensch M, Claus EB (2010) Epidemiology and etiology of meningioma. J Neurooncol 99(3):307\u2013314","journal-title":"J Neurooncol"},{"issue":"Suppl 1","key":"599_CR44","doi-asserted-by":"crossref","first-page":"S15","DOI":"10.1186\/1746-1596-6-S1-S15","volume":"6","author":"Y Yagi","year":"2011","unstructured":"Yagi Y (2011) Color standardization and optimization in whole slide imaging. Diagn Pathol 6(Suppl 1):S15","journal-title":"Diagn Pathol"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-017-0599-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0599-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0599-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T03:57:21Z","timestamp":1601611041000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-017-0599-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,9]]},"references-count":44,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["599"],"URL":"https:\/\/doi.org\/10.1007\/s10044-017-0599-6","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,9]]}}}