{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T07:20:47Z","timestamp":1769844047130,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/bibm47256.2019.8983092","type":"proceedings-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T02:49:51Z","timestamp":1581043791000},"page":"1031-1036","source":"Crossref","is-referenced-by-count":20,"title":["Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution"],"prefix":"10.1109","author":[{"given":"Jianhong","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]},{"given":"Jin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]},{"given":"Liangliang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]},{"given":"Yi","family":"Pan","sequence":"additional","affiliation":[{"name":"Georgia State University,Department of Computer Science,Atlanta,USA"}]},{"given":"Jianxin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_28"},{"key":"ref11","first-page":"450","author":"kamnitsas","year":"2018","journal-title":"Ensembles of multiple models and architectures for robust brain tumour segmentation"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_42"},{"key":"ref13","author":"jin","year":"2018","journal-title":"Ra-unet A hybrid deep attention-aware network to extract liver and tumor in ct scans"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_28"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75238-9_25"},{"key":"ref17","first-page":"116","article-title":"Hierar-chical multi-class segmentation of glioma images using networks with multi-level activation function","author":"hu","year":"0","journal-title":"International MICCAI Brainlesion Workshop"},{"key":"ref18","first-page":"119","article-title":"Three pathways u-net for brain tumor segmentation","author":"fang","year":"0","journal-title":"Pre-Conference Proceedings of the 7th MICCAI BraTS Challenge"},{"key":"ref19","first-page":"314","article-title":"Automatic brain tumor segmentation using a two-stage multi-modal fcnn","author":"marcinkiewicz","year":"0","journal-title":"Pre-Conference Proceedings of the 7th MICCAI BraTS Challenge"},{"key":"ref28","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2019.9020007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.080"},{"key":"ref6","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1109\/TST.2014.6961028","article-title":"A survey of mri-based brain tumor segmentation methods","volume":"19","author":"liu","year":"2014","journal-title":"Tsinghua Science and Technology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref7","first-page":"424","article-title":"3d u-net: learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2018.9020001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5858-7_2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2835303"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref24","author":"bakas","year":"2018","journal-title":"Identifying the best machine learning algorithms for brain tumor segmentation progression assessment and overall survival prediction in the brats challenge"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.117"},{"key":"ref26","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2011.00013"}],"event":{"name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"San Diego, CA, USA","start":{"date-parts":[[2019,11,18]]},"end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8965270\/8982928\/08983092.pdf?arnumber=8983092","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:45:37Z","timestamp":1755909937000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8983092\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bibm47256.2019.8983092","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}