{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:42:56Z","timestamp":1775230976698,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/USG.html"}],"funder":[{"DOI":"10.13039\/100000098","name":"Intramural Research Program of the National Institutes of Health Clinical Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000098","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2017,1]]},"DOI":"10.1109\/tip.2016.2624198","type":"journal-article","created":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T18:14:55Z","timestamp":1478024095000},"page":"386-399","source":"Crossref","is-referenced-by-count":144,"title":["A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling"],"prefix":"10.1109","volume":"26","author":[{"given":"Amal","family":"Farag","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6799-9416","authenticated-orcid":false,"given":"Le","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Holger R.","family":"Roth","sequence":"additional","affiliation":[]},{"given":"Jiamin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Evrim","family":"Turkbey","sequence":"additional","affiliation":[]},{"given":"Ronald M.","family":"Summers","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7163871"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7163869"},{"key":"ref33","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.101"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.01.001"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24553-9_68"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.2307\/2987742"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10404-1_65"},{"key":"ref28","author":"vedaldi","year":"2008","journal-title":"Vlfeat An Open and Portable Library of Computer Vision Algorithms"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2337057"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33454-2_9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995323"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/34.87344"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000022288.19776.77"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.332"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.251"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1109\/TIP.2008.920737","article-title":"A real-time algorithm for the approximation of level-set-based curve evolution","volume":"17","author":"shi","year":"2008","journal-title":"IEEE Trans Image Process"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10404-1_83"},{"key":"ref11","first-page":"33","article-title":"Lung registration using the niftyreg package","author":"modat","year":"2010","journal-title":"Med Image Anal Clinic A Grand Challenge"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301381"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.143"},{"key":"ref13","first-page":"1","article-title":"Hierarchical multi-organ segmentation without registration in 3D abdominal CT images","author":"zografos","year":"2015","journal-title":"MICCAI Workshop on Medical Computer Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2171705"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2282124"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0574-z"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref19","first-page":"1","article-title":"Superpixel benchmark and comparison","author":"neubert","year":"2012","journal-title":"Proc Forum Bildverarbeitung"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587393"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2008.2004421"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28557-8_22"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-009-0384-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40763-5_21"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2265805"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33415-3_2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995359"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88693-8_34"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2377715"},{"key":"ref47","first-page":"161","article-title":"Computer aided diagnosis using multilevel image features on large-scale evaluation","author":"lu","year":"2013","journal-title":"Proc Med Comput Vis"},{"key":"ref42","first-page":"1","article-title":"Deep convolutional networks for pancreas segmentation in CT imaging","volume":"9413","author":"roth","year":"2015","journal-title":"Proc SPIE"},{"key":"ref41","article-title":"Handcrafted local features are convolutional neural networks","author":"lan","year":"2015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298959"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/7743013\/07727966.pdf?arnumber=7727966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:27:11Z","timestamp":1642004831000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7727966\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":49,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tip.2016.2624198","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]}}}