{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:13:50Z","timestamp":1730247230389,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/icip.2018.8451820","type":"proceedings-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T13:59:22Z","timestamp":1536328762000},"page":"3508-3512","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Segmentation of Shoulder Joint in MRI Using Patch-Based and Fully Convolutional Networks"],"prefix":"10.1109","author":[{"given":"Liu","family":"Yunpeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cai","family":"Wenli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Guobin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang","family":"Renfang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Ran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/978-3-319-46976-8_12","article-title":"Three-dimensional CT image segmentation by combining 2D fully convolutional network with 3D majority voting[J]","volume":"10008","author":"zhou","year":"2016","journal-title":"Deep Learning and Data Labeling for Medical Applications"},{"key":"ref11","first-page":"478","article-title":"Deep learning for multi-task medical image segmentation in multiple modalities [C]\/\/","author":"moeskops","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67389-9_32"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1007\/978-3-319-67389-9_31","article-title":"Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework[C]\/\/","author":"nie","year":"2017","journal-title":"Int Work Mach Learn Med Imag"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1007\/978-3-319-46976-8_15","article-title":"Multi-dimensional gated recurrent units for the segmentation of biomedical 3D-data[J]","volume":"10008","author":"andermatt","year":"2016","journal-title":"Deep Learning and Data Labeling for Medical Applications"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/978-3-319-52280-7_8","article-title":"Recurrent fully convolutional neural networks for multi-slice MRI cardiac segmentation[J]","volume":"10129","author":"poudel","year":"2016","journal-title":"Reconstruction Segmentation and Analysis of Medical Images"},{"key":"ref16","first-page":"269","article-title":"Sub-cortical brain structure segmentation using F-CNNs[C]\/\/","author":"shakeri","year":"2016","journal-title":"IEEE International Symposium on Biomedical Imaging"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2430895"},{"key":"ref18","first-page":"415","article-title":"Automatic liver and lesion segmentation in CT using cascaded fully convolutional neural networks and 3D conditional random fields [C]\/\/","author":"christ","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493497"},{"key":"ref4","first-page":"213","article-title":"Model-based auto segmentation of knee bones and cartilage in MRI data[C]\/\/","author":"seim","year":"2010","journal-title":"Proceeding of Medical Image Analysis for the Clinic A Grand Challenge in Conjunction with MICCAI"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.886808"},{"key":"ref6","first-page":"59","article-title":"An articulated statistical shape model of the human knee[J]","author":"bindernagel","year":"2011","journal-title":"Bildverarbeitung fur die Medizin"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1118\/1.3264615"},{"key":"ref8","first-page":"36","article-title":"Knee joint articular cartilage segmentation, using radial search method, visualization and quantification[J]","volume":"42","author":"mallikarjuna","year":"2012","journal-title":"Int J Comput Appl"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.09.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2007.4"},{"key":"ref1","first-page":"5620","article-title":"Multicontrast MR for enhanced bone imaging and segmentation [C]\/\/","author":"dalvi","year":"2007","journal-title":"Proceedings of IEEE International Conference Engineering in Medicine & Biology Society"},{"key":"ref9","first-page":"433","article-title":"Model-based segmentation of vertebral bodies from MR images with 3D CNNs[C]\/\/","author":"korez","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref22","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks[C]\/\/","author":"krizhevsky","year":"2012","journal-title":"International Conference on Neural Information Processing Systems"},{"key":"ref21","first-page":"234","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation[C]\/\/","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"}],"event":{"name":"2018 25th IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2018,10,7]]},"location":"Athens","end":{"date-parts":[[2018,10,10]]}},"container-title":["2018 25th IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8436606\/8451009\/08451820.pdf?arnumber=8451820","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T05:11:44Z","timestamp":1643173904000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8451820\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip.2018.8451820","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}