{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T04:25:14Z","timestamp":1784262314805,"version":"3.55.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,10,4]],"date-time":"2020-10-04T00:00:00Z","timestamp":1601769600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,4]],"date-time":"2020-10-04T00:00:00Z","timestamp":1601769600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key R&D Program of China","award":["2018YFB1003201"],"award-info":[{"award-number":["2018YFB1003201"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902078"],"award-info":[{"award-number":["61902078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702114"],"award-info":[{"award-number":["61702114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s00138-020-01119-9","type":"journal-article","created":{"date-parts":[[2020,10,4]],"date-time":"2020-10-04T10:02:22Z","timestamp":1601805742000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":77,"title":["Feature-transfer network and local background suppression for microaneurysm detection"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8824-7686","authenticated-orcid":false,"given":"Xinpeng","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jigang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifei","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,10,4]]},"reference":[{"issue":"Supplement 1","key":"1119_CR1","doi-asserted-by":"publisher","first-page":"S81","DOI":"10.2337\/dc14-S081","volume":"37","author":"American Diabetes Association","year":"2014","unstructured":"American Diabetes Association: Diagnosis and classification of diabetes mellitus. Diabetes Care 37(Supplement 1), S81\u2013S90 (2014)","journal-title":"Diabetes Care"},{"issue":"1","key":"1119_CR2","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.mcna.2014.09.002","volume":"99","author":"MP Gilbert","year":"2015","unstructured":"Gilbert, M.P.: Screening and treatment by the primary care provider of common diabetes complications. Med. Clin. N. Am. 99(1), 201\u2013219 (2015)","journal-title":"Med. Clin. N. Am."},{"key":"1119_CR3","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.diabres.2016.11.022","volume":"123","author":"SB Harris","year":"2017","unstructured":"Harris, S.B., Tompkins, J.W., Tehiwi, B.: Call to action: a new path for improving diabetes care for indigenous peoples, a global review. Diabetes Res. Clin. Pract. 123, 120\u2013133 (2017)","journal-title":"Diabetes Res. Clin. Pract."},{"key":"1119_CR4","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.preteyeres.2015.08.001","volume":"51","author":"AW Stitt","year":"2016","unstructured":"Stitt, A.W., Curtis, T.M., Chen, M., Medina, R.J., Mckay, G.J., Jenkins, A., Gardiner, T.A., Lyons, T.J., Hammes, H.P., Sim\u00f3, R.: The progress in understanding and treatment of diabetic retinopathy. Prog. Retin. Eye Res. 51, 156\u2013186 (2016)","journal-title":"Prog. Retin. Eye Res."},{"issue":"7160","key":"1119_CR5","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1136\/bmj.317.7160.703","volume":"317","author":"United Kingdom Prospective Diabetes Study Group","year":"1998","unstructured":"United Kingdom Prospective Diabetes Study Group: Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group. Br. Med. J. 317(7160), 703\u2013713 (1998)","journal-title":"Br. Med. J."},{"key":"1119_CR6","doi-asserted-by":"crossref","unstructured":"Martins, C.I.O., Medeiros, F.N.S., Bezerra, F.N., Bezerra, F.N.: Evaluation of retinal vessel segmentation methods for microaneurysms detection. In: IEEE International Conference on Image Processing, pp. 3365\u20133368 (2009)","DOI":"10.1109\/ICIP.2009.5413892"},{"issue":"6","key":"1119_CR7","first-page":"1147","volume":"117","author":"M Abramoff","year":"2010","unstructured":"Abramoff, M., Reinhardt, J., Russell, S., Folk, J., Mahajan, V., Niemeijer, M., Quellec, G.: Automated early detection of diabetic retinopathy. Inf. Sci. 117(6), 1147\u20131154 (2010)","journal-title":"Inf. Sci."},{"issue":"5","key":"1119_CR8","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1109\/TMI.2018.2794988","volume":"37","author":"L Dai","year":"2018","unstructured":"Dai, L., Fang, R., Li, H., Hou, X., Sheng, B., Wu, Q., Jia, W.: Clinical report guided retinal microaneurysm detection with multi-sieving deep learning. IEEE Trans. Med. Imaging 37(5), 1149\u20131161 (2018)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1119_CR9","doi-asserted-by":"crossref","unstructured":"Lyu, X., Li, H., Yi, Z., Xin, J., Zhang, S.: Deep tessellated retinal image detection using convolutional neural networks. In: International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 676\u2013680 (2017)","DOI":"10.1109\/EMBC.2017.8036915"},{"issue":"9","key":"1119_CR10","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1109\/TMI.2008.920619","volume":"27","author":"G Quellec","year":"2008","unstructured":"Quellec, G., Lamard, M., Josselin, P.M., Cazuguel, G., Cochener, B., Roux, C.: Optimal wavelet transform for the detection of microaneurysms in retina photographs. IEEE Trans. Med. Imaging 27(9), 1230\u20131241 (2008)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1119_CR11","doi-asserted-by":"crossref","unstructured":"Ding, S., Ma, W.: An accurate approach for microaneurysm detection in digital fundus images. In: International Conference on Pattern Recognition, pp. 1846\u20131851 (2014)","DOI":"10.1109\/ICPR.2014.323"},{"issue":"2","key":"1119_CR12","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1109\/TMI.2012.2228665","volume":"32","author":"I Lazar","year":"2013","unstructured":"Lazar, I., Hajdu, A.: Retinal microaneurysm detection through local rotating cross-section profile analysis. IEEE Trans. Med. Imaging 32(2), 400\u2013407 (2013)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1119_CR13","doi-asserted-by":"crossref","unstructured":"Kamble, R., Kokare, M.: Detection of microaneurysm using local rank transform in color fundus images. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 4442\u20134446 (2017)","DOI":"10.1109\/ICIP.2017.8297122"},{"issue":"5","key":"1119_CR14","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1109\/TMI.2005.843738","volume":"24","author":"M Niemeijer","year":"2005","unstructured":"Niemeijer, M., van Ginneken, B., Staal, J., Suttorp-Schulten, M.S.A., Abramoff, M.D.: Automatic detection of red lesions in digital color fundus photographs. IEEE Trans. Med. Imaging 24(5), 584\u2013592 (2005)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"1119_CR15","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1109\/TMI.2006.879953","volume":"25","author":"AD Fleming","year":"2006","unstructured":"Fleming, A.D., Philip, S., Goatman, K.A., Olson, J.A., Sharp, P.F.: Automated microaneurysm detection using local contrast normalization and local vessel detection. IEEE Trans. Med. Imaging 25(9), 1223\u20131232 (2006)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"5\u20136","key":"1119_CR16","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.compmedimag.2013.05.005","volume":"37","author":"A Sopharak","year":"2013","unstructured":"Sopharak, A., Uyyanonvara, B., Barman, S.: Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images. Comput. Med. Imaging Graph. 37(5\u20136), 394\u2013402 (2013)","journal-title":"Comput. Med. Imaging Graph."},{"key":"1119_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, B., Zhang, L., You, J., Karray, F.: Microaneurysm (MA) detection via sparse representation classifier with MA and non-MA dictionary learning. In: International Conference on Pattern Recognition, pp. 277\u2013280 (2010)","DOI":"10.1109\/ICPR.2010.77"},{"issue":"1","key":"1119_CR18","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.patcog.2012.07.002","volume":"46","author":"MU Akram","year":"2013","unstructured":"Akram, M.U., Khalid, S., Khan, S.A.: Identification and classification of microaneurysms for early detection of diabetic retinopathy. Pattern Recognit. 46(1), 107\u2013116 (2013)","journal-title":"Pattern Recognit."},{"issue":"8","key":"1119_CR19","first-page":"e0161556-1","volume":"11","author":"B Dai","year":"2016","unstructured":"Dai, B., Wu, X., Bu, W.: Retinal microaneurysms detection using gradient vector analysis and class imbalance classification. PLoS ONE 11(8), e0161556-1\u2013e0161556-23 (2016)","journal-title":"PLoS ONE"},{"key":"1119_CR20","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.compmedimag.2016.08.001","volume":"55","author":"B Wu","year":"2017","unstructured":"Wu, B., Zhu, W., Shi, F., Zhu, S., Chen, X.: Automatic detection of microaneurysms in retinal fundus images. Comput. Med. Imaging Graph. 55, 106\u2013112 (2017)","journal-title":"Comput. Med. Imaging Graph."},{"issue":"5","key":"1119_CR21","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1109\/TBME.2016.2585344","volume":"64","author":"S Wang","year":"2017","unstructured":"Wang, S., Tang, H., Al Turk, L., Hu, Y., Sanei, S., Saleh, G., Peto, T.: Localizing microaneurysms in fundus images through singular spectrum analysis. IEEE Trans. Biomed. Eng. 64(5), 990\u20131002 (2017)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"1119_CR22","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.patcog.2011.06.010","volume":"45","author":"B Antal","year":"2012","unstructured":"Antal, B., Hajdu, A.: Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods. Pattern Recognit. 45(1), 264\u2013270 (2012)","journal-title":"Pattern Recognit."},{"key":"1119_CR23","doi-asserted-by":"crossref","unstructured":"Kuanar, S., Athitsos, V., Pradhan, N., Mishra, A., Rao, K.R.: Cognitive analysis of working memory load from EEG, by a deep recurrent neural network. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2576\u20132580 (2018)","DOI":"10.1109\/ICASSP.2018.8462243"},{"key":"1119_CR24","doi-asserted-by":"crossref","unstructured":"Kuanar, S., Athitsos, V., Mahapatra, D., Rao, K.R., Akhtar, Z., Dasgupta, D.: Low dose abdominal ct image reconstruction: an unsupervised learning based approach. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 1351\u20131355 (2019)","DOI":"10.1109\/ICIP.2019.8803037"},{"key":"1119_CR25","unstructured":"Haloi, M.: Improved microaneurysm detection using deep neural networks. arXiv preprint arXiv:1505.04424 (2015)"},{"key":"1119_CR26","doi-asserted-by":"crossref","unstructured":"Chudzik, P., Majumdar, S., Caliva, F., Al-Diri, B., Hunter, A.: Microaneurysm detection using deep learning and interleaved freezing. In: Proceedings of SPIE in Medical Imaging: Image Processing, vol. 105741I, pp. 1\u20139 (2018)","DOI":"10.1117\/12.2293520"},{"issue":"1","key":"1119_CR27","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1186\/s12938-019-0675-9","volume":"18","author":"N Eftekhari","year":"2019","unstructured":"Eftekhari, N., Pourreza, H.-R., Masoudi, M., Ghiasi-Shirazi, K., Saeedi, E.: Microaneurysm detection in fundus images using a two-step convolutional neural networks. Biomed. Eng. Online 18(1), 67\u201382 (2019)","journal-title":"Biomed. Eng. Online"},{"key":"1119_CR28","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.cmpb.2018.02.016","volume":"158","author":"P Chudzik","year":"2018","unstructured":"Chudzik, P., Majumdar, S., Caliv\u00e1, F., Al-Diri, B., Hunter, A.: Microaneurysm detection using fully convolutional neural networks. Comput. Methods Programs Biomed. 158, 185\u2013192 (2018)","journal-title":"Comput. Methods Programs Biomed."},{"key":"1119_CR29","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.ins.2017.08.050","volume":"420","author":"JH Tan","year":"2017","unstructured":"Tan, J.H., Fujita, H., Sivaprasad, S., Bhandary, S.V., Rao, A.K., Chua, K.C., Acharya, U.R.: Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network. Inf. Sci. 420, 66\u201376 (2017)","journal-title":"Inf. Sci."},{"issue":"6","key":"1119_CR30","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.media.2007.05.001","volume":"11","author":"T Walter","year":"2007","unstructured":"Walter, T., Massin, P., Erginay, A., Ordonez, R., Jeulin, C., Klein, J.C.: Automatic detection of microaneurysms in color fundus images. Med. Image Anal. 11(6), 555\u2013566 (2007)","journal-title":"Med. Image Anal."},{"issue":"4","key":"1119_CR31","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1007\/s12046-015-0353-y","volume":"40","author":"M Tamilarasi","year":"2015","unstructured":"Tamilarasi, M., Duraiswamy, K.: Automatic detection of microaneurysms using microstructure and wavelet methods. Sadhana 40(4), 1185\u20131203 (2015)","journal-title":"Sadhana"},{"key":"1119_CR32","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1166\/jmihi.2017.1998","volume":"7","author":"Z Xiao","year":"2017","unstructured":"Xiao, Z., Zhang, X., Zhang, F., Geng, L., Wu, J., Su, L., Chen, L.: Diabetic retinopathy retinal image enhancement based on gamma correction. J. Med. Imaging Health Inform. 7, 149\u2013154 (2017)","journal-title":"J. Med. Imaging Health Inform."},{"issue":"5","key":"1119_CR33","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1109\/TITB.2010.2052282","volume":"14","author":"CA Lupascu","year":"2010","unstructured":"Lupascu, C.A., Tegolo, D., Trucco, E.: FABC: retinal vessel segmentation using AdaBoost. IEEE Trans. Inf. Technol. Biomed. 14(5), 1267\u20131274 (2010)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"issue":"4","key":"1119_CR34","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1145\/279232.279236","volume":"23","author":"JL Morales","year":"1997","unstructured":"Morales, J.L., Nocedal, J.: Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization. ACM Trans. Math. Softw. (TOMS) 23(4), 550\u2013560 (1997)","journal-title":"ACM Trans. Math. Softw. (TOMS)"},{"issue":"1","key":"1119_CR35","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TMI.2009.2033909","volume":"29","author":"M Niemeijer","year":"2010","unstructured":"Niemeijer, M., Van Ginneken, B., Cree, M.J., Mizutani, A., Quellec, G., Sanchez, C.I., Zhang, B., Hornero, R., Lamard, M., Muramatsu, C.: Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs. IEEE Trans. Med. Imaging 29(1), 185\u2013195 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1119_CR36","doi-asserted-by":"crossref","unstructured":"Kauppi, T., Kalesnykiene, V., Kamarainen, J.-K., Lensu, L., Sorri, I., Raninen, A., Voutilainen, R., Pietila, J., Kalviainen, H., Uusitalo, H.: The diaretdb1 diabetic retinopathy database and evaluation protocol. In: Proceedings of the British Machine Vision Conference, vol. 2007, pp. 1\u201310 (2007)","DOI":"10.5244\/C.21.15"},{"issue":"2","key":"1119_CR37","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.irbm.2013.01.010","volume":"34","author":"E Decenciere","year":"2013","unstructured":"Decenciere, E., Cazuguel, G., Zhang, X., Thibault, G., Klein, J.C., Meyer, F., Marcotegui, B., Quellec, G., Lamard, M., Danno, R., Elie, D., Massin, P., Viktor, Z., Erginay, A., Lay, B., Chabouis, A.: TeleOphta: machine learning and image processing methods for teleophthalmology. IRBM 34(2), 196\u2013203 (2013)","journal-title":"IRBM"},{"issue":"7","key":"1119_CR38","doi-asserted-by":"publisher","first-page":"3300","DOI":"10.1109\/TIP.2018.2815345","volume":"27","author":"B Dashtbozorg","year":"2018","unstructured":"Dashtbozorg, B., Zhang, J., Huang, F., Ter Haar Romeny, B.M.: Retinal microaneurysms detection using local convergence index features. IEEE Trans. Image Process. 27(7), 3300\u20133315 (2018)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"1119_CR39","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1109\/TMI.2015.2509785","volume":"35","author":"L Seoud","year":"2016","unstructured":"Seoud, L., Hurtut, T., Chelbi, J., Cheriet, F., Langlois, J.: Red lesion detection using dynamic shape features for diabetic retinopathy screening. IEEE Trans. Med. Imaging 35(4), 1116\u20131126 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"1119_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cmpb.2013.12.009","volume":"114","author":"KM Adal","year":"2014","unstructured":"Adal, K.M., Sidib\u00e9, D., Ali, S., Chaum, E., Karnowski, T.P., M\u00e9riaudeau, F.: Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning. Comput. Methods Prog. Biomed. 114(1), 1\u201310 (2014)","journal-title":"Comput. Methods Prog. Biomed."},{"issue":"3","key":"1119_CR41","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.artmed.2013.12.005","volume":"60","author":"C Pereira","year":"2014","unstructured":"Pereira, C., Veiga, D., Mahdjoub, J., Guessoum, Z., Gon\u00e7alves, L., Ferreira, M., Monteiro, J.: Using a multi-agent system approach for microaneurysm detection in fundus images. Artif. Intell. Med. 60(3), 179\u2013188 (2014)","journal-title":"Artif. Intell. Med."},{"issue":"6","key":"1119_CR42","doi-asserted-by":"publisher","first-page":"1720","DOI":"10.1109\/TBME.2012.2193126","volume":"59","author":"B Antal","year":"2012","unstructured":"Antal, B., Hajdu, A.: An ensemble-based system for microaneurysm detection and diabetic retinopathy grading. IEEE Trans. Biomed. Eng. 59(6), 1720\u20131726 (2012)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"1119_CR43","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.ins.2012.03.003","volume":"200","author":"B Zhang","year":"2012","unstructured":"Zhang, B., Li, Q., Zhang, L.: Sparse representation classifier for microaneurysm detection and retinal blood vessel extraction. Inf. Sci. 200(1), 78\u201390 (2012)","journal-title":"Inf. Sci."},{"key":"1119_CR44","doi-asserted-by":"crossref","unstructured":"Giancardo, L., Meriaudeau, F., Karnowski, T.P., Li, Y., Tobin Jr, K.W., Chaum, E.: Microaneurysm detection with radon transform-based classification on retina images. In: International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5939\u20135942 (2011)","DOI":"10.1109\/IEMBS.2011.6091562"},{"issue":"3","key":"1119_CR45","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1109\/TBME.2010.2096223","volume":"58","author":"K Ram","year":"2011","unstructured":"Ram, K., Joshi, G.D., Sivaswamy, J.: A successive clutter-rejection-based approach for early detection of diabetic retinopathy. IEEE Trans. Biomed. Eng. 58(3), 664\u2013673 (2011)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"1119_CR46","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, C.I., Hornero, R., Mayo, A., Garc\u00eda, M.: Mixture modelbased clustering and logistic regression for automatic detection of microaneurysms in retinal images. In: Proceedings of SPIE in Medical Imaging, vol. 7260, pp. 72601M-1\u201372601M-8 (2009)","DOI":"10.1117\/12.812088"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01119-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-020-01119-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01119-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,4]],"date-time":"2021-10-04T22:54:56Z","timestamp":1633388096000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-020-01119-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,4]]},"references-count":46,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["1119"],"URL":"https:\/\/doi.org\/10.1007\/s00138-020-01119-9","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,4]]},"assertion":[{"value":"20 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"1"}}