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Review of Deep Learning Models for Spine Segmentation

dc.contributor.authorZhou, Neng
dc.contributor.authorWen, Hairu
dc.contributor.authorLiu, Yang
dc.contributor.authorWang, Yi
dc.contributor.authorWang, Zhong
dc.contributor.authorZhou, Zijun
dc.contributor.authorZhou, Longfei
dc.date.accessioned2022-11-03T18:19:18Z
dc.date.available2022-11-03T18:19:18Z
dc.date.issued2022-06-27
dc.identifier.isbn978-1-4503-9238-9
dc.identifier.urihttps://hdl.handle.net/1721.1/146134
dc.publisherACM|Proceedings of the 2022 International Conference on Multimedia Retrievalen_US
dc.relation.isversionofhttps://doi.org/10.1145/3512527.3531356en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 2022 International Conference on Multimedia Retrievalen_US
dc.titleReview of Deep Learning Models for Spine Segmentationen_US
dc.typeArticleen_US
dc.identifier.citationZhou, Neng, Wen, Hairu, Liu, Yang, Wang, Yi, Wang, Zhong et al. 2022. "Review of Deep Learning Models for Spine Segmentation."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-02T22:38:37Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-11-02T22:38:37Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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