{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:15:00Z","timestamp":1740100500630,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006250","name":"Southwest University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006250","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012546","name":"Chongqing Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012546","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,9]]},"DOI":"10.1109\/bibm52615.2021.9669426","type":"proceedings-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T20:40:30Z","timestamp":1642192830000},"page":"3400-3407","source":"Crossref","is-referenced-by-count":1,"title":["Few-Shot Learning For Auromatic Intracranial Hematoma Segmentation"],"prefix":"10.1109","author":[{"given":"Xiaojuan","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wengsong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangbo","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Segmentation of Intracerebral Hemorrhage based on Improved U-Net","author":"cao","year":"0","journal-title":"Journal of Imaging Science and Technology"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.3174\/ajnr.A5742"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1073\/pnas.1908021116"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1007\/s10278-018-00172-1"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/ACCESS.2019.2906605"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/ICCV.2019.00926"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/CVPR42600.2020.00856"},{"key":"ref17","article-title":"Encoder- Decoder with Atrous Separable Convolution for Semantic Image Segmentation","author":"chen","year":"2018","journal-title":"European Conference on Computer Vision (ECCV)"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/JBHI.2020.3028243"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/ISBI45749.2020.9098596"},{"year":"0","author":"chilamkurthy","article-title":"Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans","key":"ref28"},{"key":"ref4","article-title":"Deep Interactive Object Selection","author":"ning","year":"0","journal-title":"Presented at 2016 IEEE Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/TMI.2016.2528162"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TMI.2016.2621185"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref29","first-page":"2388","article-title":"Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study","volume":"392","author":"sasank","year":"0","journal-title":"The Lancet"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TPAMI.2018.2840695"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref7","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","author":"ronneberger","year":"0","journal-title":"Presented at 2015 International Conference on Medical Image Computing and Computer-Assisted Intervention Presented at Medical Image Computing and Computer- Assisted Intervention – MICCAI 2015"},{"key":"ref2","first-page":"1","article-title":"An Overview of Interactive Medical Image Segmentation","volume":"2013","author":"zhao","year":"2013","journal-title":"Ann BMVA"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/ICASSP40776.2020.9053405"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.media.2017.07.005"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TMI.2018.2791721"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/BIBM49941.2020.9313439"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/KCIC.2017.8228603"},{"key":"ref24","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Presented at the 31st International Conference on Neural Information Processing Systems"},{"key":"ref23","article-title":"Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer","author":"zagoruyko","year":"0","journal-title":"ArXiv"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1016\/j.neunet.2018.01.005"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/TMI.2020.3034995"}],"event":{"name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2021,12,9]]},"location":"Houston, TX, USA","end":{"date-parts":[[2021,12,12]]}},"container-title":["2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9669261\/9669139\/09669426.pdf?arnumber=9669426","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:10Z","timestamp":1652201830000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669426\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,9]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/bibm52615.2021.9669426","relation":{},"subject":[],"published":{"date-parts":[[2021,12,9]]}}}