{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:46:46Z","timestamp":1778824006064,"version":"3.51.4"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/icait.2019.8935903","type":"proceedings-article","created":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T19:54:23Z","timestamp":1576785263000},"page":"31-35","source":"Crossref","is-referenced-by-count":3,"title":["Brain Tumor Segmentation from MRI Using Pre-segmentation Based on Superpixels and Fully Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Jiinjing","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunhui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liren","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2013.05.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2538465"},{"key":"ref13","author":"wang","year":"2017","journal-title":"Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks"},{"key":"ref14","article-title":"A deep learning model integrating FCNNs and CRFs for brain tumor segmentation[J]","author":"zhao","year":"2017","journal-title":"Medical Image Analysis"},{"key":"ref15","author":"shen","year":"2017","journal-title":"Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation[J]"},{"key":"ref16","first-page":"640","article-title":"Fully Convolutional Networks for Semantic Segmentation[J]","volume":"39","author":"long","year":"2014","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref17","author":"wu","year":"2016","journal-title":"High-performance semantic segmentation using very deep fully convolutional networks"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2018.01.009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9317-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.891486"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2009.5403049"},{"key":"ref5","first-page":"186","article-title":"Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean algorithm","author":"selvakumar","year":"2012","journal-title":"IEEE-International Conference On Advances In Engineering Science And Management (ICAESM -2012) ICAESM"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2011.5872808"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.913743"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1102\/1470-7330.2006.9037"},{"key":"ref1","article-title":"2017 International MICCAI BraTS Challenge","author":"bakas","year":"2017","journal-title":"Proceedings of the 6th MICCAI BraTS Challenge"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1016\/j.mri.2014.03.010","article-title":"Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation","volume":"32","author":"chunming","year":"2014","journal-title":"Magn Reson Imaging"},{"key":"ref20","article-title":"ImageNet classification with deep convolutional neural networks[C]","author":"krizhevsky","year":"2012","journal-title":"International Conference on Neural Information Processing Systems"},{"key":"ref22","article-title":"Trickle irrigation for crop production: design, operation, and management[M]","author":"nakayama","year":"1986","journal-title":"Trickle irrigation for crop production Design operation and management"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/0010-4655(93)90110-X"},{"key":"ref23","article-title":"Volumetric multimodality neural network for brain tumor segmentation[C]","author":"silvana castillo","year":"2017","journal-title":"Society of Photo-Optical Instrumentation Engineers"}],"event":{"name":"2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT)","location":"Jinan, China","start":{"date-parts":[[2019,10,18]]},"end":{"date-parts":[[2019,10,20]]}},"container-title":["2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8930848\/8935886\/08935903.pdf?arnumber=8935903","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:52:27Z","timestamp":1658080347000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8935903\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icait.2019.8935903","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}