乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:20:11Z","timestamp":1740169211909,"version":"3.37.3"},"reference-count":150,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000921","name":"COST Action Magnetic Resonance Imaging Biomarkers for Chronic Kidney Disease (PARENCHIMA) through the European Cooperation in Science and Technology","doi-asserted-by":"publisher","award":["CA16103"],"id":[{"id":"10.13039\/501100000921","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Research Campus M2OLIE through by the German Federal Ministry of Education and Research (BMBF) within the Framework Forschungscampus: public\u2013private partnership for Innovations","doi-asserted-by":"publisher","award":["13GW0388A"],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Slovenian Research Agency (ARRS), Research Programme Metrology and Biometric Systems","award":["P2-0250"]},{"name":"Trond Mohn Research Foundation to A.L. and M.K.","award":["BFS2018TMT07"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3078430","type":"journal-article","created":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T20:23:54Z","timestamp":1620678234000},"page":"71577-71605","source":"Crossref","is-referenced-by-count":32,"title":["Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3405-1394","authenticated-orcid":false,"given":"Frank G.","family":"Z\u00f6llner","sequence":"first","affiliation":[{"name":"Medical Faculty Mannheim, Mannheim Institute for Intelligent Systems in Medicine, Computer Assisted Clinical Medicine, Heidleberg University, Mannheim, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7088-4823","authenticated-orcid":false,"given":"Marek","family":"Koci\u0144ski","sequence":"additional","affiliation":[{"name":"Department of Biomedicine, Mohn Medical Imaging and Visualization Centre, University of Bergen, Bergen, Norway"}]},{"given":"Laura","family":"Hansen","sequence":"additional","affiliation":[{"name":"Medical Faculty Mannheim, Mannheim Institute for Intelligent Systems in Medicine, Computer Assisted Clinical Medicine, Heidleberg University, Mannheim, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2506-4583","authenticated-orcid":false,"given":"Alena-Kathrin","family":"Golla","sequence":"additional","affiliation":[{"name":"Medical Faculty Mannheim, Mannheim Institute for Intelligent Systems in Medicine, Computer Assisted Clinical Medicine, Heidleberg University, Mannheim, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4892-5945","authenticated-orcid":false,"given":"Amira \u0160erifovi\u0107","family":"Trbali\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Tuzla, Tuzla, Bosnia and Herzegovina"}]},{"given":"Arvid","family":"Lundervold","sequence":"additional","affiliation":[{"name":"Department of Biomedicine, Mohn Medical Imaging and Visualization Centre, University of Bergen, Bergen, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0864-1518","authenticated-orcid":false,"given":"Andrzej","family":"Materka","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Łódź University of Technology, Lodz, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2939-6945","authenticated-orcid":false,"given":"Peter","family":"Rogelj","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26806"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/AFRCON.2015.7331952"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-014-0429-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-05088-0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.05.013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0903-x"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SPMB.2016.7846874"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2014.05.017"},{"journal-title":"Digital Image Processing Using Matlab","year":"2004","author":"gonzalez","key":"ref28"},{"journal-title":"Digital Image Processing","year":"2018","author":"gonzalez","key":"ref27"},{"journal-title":"Computer and machine vision theory algorithms practicalities","year":"2012","author":"davies","key":"ref29"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-019-00782-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s13104-016-2292-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319043"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.15.15875"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-014-9679-y"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00239-7"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2509463"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.2174\/1573405613666171123160609"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1117\/12.770934"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2017.0387"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.09.006"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101821"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-019-00800-z"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-019-00802-x"},{"key":"ref148","first-page":"60","article-title":"Consensus-based technical recommendations for clinical translation of renal phase contrast MRI","volume":"42","author":"ahn","year":"2017","journal-title":"J Magn Reson Imag"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2017.05.003"},{"journal-title":"Kits19 Challenge Homepage","year":"2020","author":"homepage","key":"ref59"},{"key":"ref58","article-title":"Comparison of Unet3D models for kidney tumor segmentation","author":"turk","year":"2020","journal-title":"Preprints"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.diii.2019.03.001"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-01779-0"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IPTA.2019.8936087"},{"key":"ref54","article-title":"A survey on deep learning-based architectures for semantic segmentation on 2D images","author":"ulku","year":"2021","journal-title":"arXiv 1912 10230"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2020.09.007"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfy163"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.01.014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.22335"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfy180"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfy243"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00117-015-0068-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(15)60907-2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/BMEiCON47515.2019.8990257"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2425935"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.08.008"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.zemedi.2018.11.002"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(00)00136-9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MPUL.2017.2701493"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.10.034"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2007.09.005"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1159\/000358604"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2008.11.004"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2014.02.001"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20170125"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351646"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.01.025"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0216635"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0200082"},{"key":"ref128","first-page":"630","article-title":"Picture thresholding using an iterative selection method","volume":"smc 8","author":"ridler","year":"1978","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451068"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2017.09.123"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-016-9936-3"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-31333-5"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532334"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20170813"},{"key":"ref133","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref134","first-page":"43","article-title":"Automatic segmentation of polycystic kidneys from magnetic resonance images using a three-dimensional fully-convolutional network","author":"o\u2019reilly","year":"2020","journal-title":"Proc RSU Int Rese Conf"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000003083"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6867996"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1120\/jacmp.v17i2.5820"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2269139"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2315155"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-019-0988-4"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24553-9_10"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2015.229"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24553-9_1"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13715"},{"key":"ref62","first-page":"79","article-title":"Fast semi-supervised segmentation of the kidneys in DCE-MRI using convolutional neural networks and transfer learning","author":"lundervold","year":"2017","journal-title":"Proc 2nd Int Sci Symp"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/BF02478259"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-019-00772-0"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.07.001"},{"key":"ref140","first-page":"1","article-title":"Comparing sample mining schemes for cnn kidney segmentation in t1w mri","author":"schnurr","year":"2019","journal-title":"Proc 3rd Int Conf Funct Renal Imag"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1515\/mms-2017-0014"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2010.11.029"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13221"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2578680"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.06.010"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-019-00784-w"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7164028"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfy198"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.12.8657"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2849987"},{"key":"ref145","first-page":"163","article-title":"Consensus-based technical recommendations for clinical translation of renal phase contrast MRI","author":"ahn","year":"2020","journal-title":"J Magn Reson Imag"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfy152"},{"journal-title":"Medical Image Segmentation With Convolutional Neural Networks","year":"2020","key":"ref109"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2015.07.011"},{"journal-title":"Kidney-Compartment-Segmentation-From-MRR-Images","year":"2020","key":"ref108"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.2009.21407"},{"journal-title":"Renal-Segmentation","year":"2020","key":"ref107"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-015-0068-x"},{"journal-title":"scikit-image","year":"2020","key":"ref106"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/IST.2018.8577168"},{"journal-title":"SciPy","year":"2020","key":"ref105"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26969-2_60"},{"journal-title":"The Visualization Toolkit","year":"2020","key":"ref104"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759175"},{"journal-title":"Simpleitk","year":"2020","key":"ref103"},{"journal-title":"The Insight Toolkit","year":"2020","key":"ref102"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00232-0"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5918-9"},{"journal-title":"Kits19 Participation With misCNN","year":"2020","key":"ref110"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.00550110"},{"key":"ref99","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-77981-4","article-title":"Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants","volume":"10","author":"langner","year":"2020","journal-title":"Sci Rep"},{"key":"ref96","first-page":"290","article-title":"The NIDDK central repository using legacy data & samples to address new questions","volume":"56","author":"cooley","year":"2007","journal-title":"Diabetes"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1093\/database\/bar043"},{"journal-title":"Qualification of Biomarker Total Kidney Volume in Studies for Treatment of Autosomal Dominant Polycystic Kidney Disease Draft Guidance for Industry","year":"2016","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-017-9978-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/22\/8675"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.006"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.urology.2019.06.016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-017-1236-y"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-018-1857-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.10561012"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.semradonc.2019.02.001"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1159\/000491022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.08300815"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.10.007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.24531"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363865"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1016\/j.urology.2017.08.056"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-015-0504-5"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2018.00215"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1111\/imj.14039"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-47206-4"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.5114\/pjr.2019.87763"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2019.8843234"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1159\/000466709"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2016.02.012"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.025"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2015.06.018"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.2977"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950629"},{"key":"ref85","article-title":"Fully convolutional neural networks improve abdominal organ segmentation","volume":"10574","author":"bobo","year":"2018","journal-title":"Proc SPIE Int Soc Opt Eng"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.07.009"},{"key":"ref87","first-page":"241","article-title":"Automatic total kidney vol. measurement, on follow-up magnetic resonance images to facilitate monitoring of autosomal dominant polycystic kidney disease progression","volume":"31","author":"kline","year":"2016","journal-title":"Nephrol Dial Transplant"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-95933-7_73"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09427136.pdf?arnumber=9427136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T20:09:50Z","timestamp":1736971790000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9427136\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":150,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3078430","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}