{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T07:03:37Z","timestamp":1730271817238,"version":"3.28.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"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":[[2020,4]]},"DOI":"10.1109\/isbi45749.2020.9098488","type":"proceedings-article","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T21:12:08Z","timestamp":1590181928000},"page":"325-328","source":"Crossref","is-referenced-by-count":16,"title":["CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images"],"prefix":"10.1109","author":[{"given":"Youyi","family":"Song","sequence":"first","affiliation":[]},{"given":"Zhen","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Teng","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Jeremy Yuen-Chun","family":"Teoh","sequence":"additional","affiliation":[]},{"given":"Baiying","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Kup-Sze","family":"Choi","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Qin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","first-page":"203","article-title":"Learning and incorporating shape models for semantic segmentation","author":"hariharan","year":"2017","journal-title":"MICCAI"},{"key":"ref3","first-page":"384","article-title":"Anatom-ically constrained neural networks (acnns): application to cardiac image enhancement and segmentation","volume":"37","author":"ozan","year":"2018","journal-title":"IEEE TMI"},{"key":"ref10","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"vinod","year":"2010","journal-title":"ICML"},{"journal-title":"Bottleneck supervised u-net for pixel-wise liver and tumor segmentation","year":"2018","author":"song","key":"ref6"},{"key":"ref11","article-title":"An overview of current evaluation methods used in medical image segmentation","author":"varduhi","year":"2015","journal-title":"Tech Rep"},{"key":"ref5","first-page":"737","article-title":"Star shape prior in fully convolutional networks for skin lesion segmentation","author":"zahra","year":"2018","journal-title":"MICCAI"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"diederik","key":"ref12"},{"key":"ref8","first-page":"426","article-title":"3d u-japa-net: Mixture of convolutional networks for abdominal multi-organ ct segmentation","author":"hideki","year":"2018","journal-title":"MICCAI"},{"key":"ref7","first-page":"649","article-title":"Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior","author":"anjany","year":"2018","journal-title":"MICCAI"},{"key":"ref2","first-page":"44","article-title":"Com-putational anatomy for multi-organ analysis in medical imaging: A review","volume":"56","author":"juan","year":"2019","journal-title":"MedIA"},{"journal-title":"Auto-encoding variational bayes","year":"2013","author":"diederik","key":"ref9"},{"key":"ref1","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"olaf","year":"2015","journal-title":"MICCAI"}],"event":{"name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2020,4,3]]},"location":"Iowa City, IA, USA","end":{"date-parts":[[2020,4,7]]}},"container-title":["2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9091448\/9098313\/09098488.pdf?arnumber=9098488","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:56:13Z","timestamp":1656453373000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9098488\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/isbi45749.2020.9098488","relation":{},"subject":[],"published":{"date-parts":[[2020,4]]}}}