dc.contributor.author | Lin, Songyue | |
dc.contributor.author | Hao, Xuejiang | |
dc.contributor.author | Liu, Yan | |
dc.contributor.author | Yan, Dong | |
dc.contributor.author | Liu, Jianwei | |
dc.contributor.author | Zhong, Mingjun | |
dc.date.accessioned | 2023-03-08T16:42:05Z | |
dc.date.available | 2023-03-08T16:42:05Z | |
dc.date.issued | 2022-12-16 | |
dc.identifier.citation | Lin , S , Hao , X , Liu , Y , Yan , D , Liu , J & Zhong , M 2022 , ' Lightweight deep learning methods for panoramic dental X-ray image segmentation ' , Neural Computing and Applications . https://doi.org/10.1007/s00521-022-08102-7 | en |
dc.identifier.issn | 0941-0643 | |
dc.identifier.other | PURE: 227047849 | |
dc.identifier.other | PURE UUID: ca381812-926c-4282-ad05-5f13c454adc1 | |
dc.identifier.other | Scopus: 85144143331 | |
dc.identifier.other | ORCID: /0000-0002-1525-1270/work/130882036 | |
dc.identifier.uri | https://hdl.handle.net/2164/20259 | |
dc.language.iso | eng | |
dc.relation.ispartof | Neural Computing and Applications | en |
dc.rights | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en |
dc.subject | Artificial intelligence | en |
dc.subject | Deep learning | en |
dc.subject | Image segmentation | en |
dc.subject | Lightweight neural network | en |
dc.subject | Tooth segmentation | en |
dc.subject | X-ray | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | Software | en |
dc.subject | Artificial Intelligence | en |
dc.subject | Supplementary Data | en |
dc.subject.lcc | QA75 | en |
dc.title | Lightweight deep learning methods for panoramic dental X-ray image segmentation | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Computing Science | en |
dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
dc.contributor.institution | University of Aberdeen.Machine Learning | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1007/s00521-022-08102-7 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85144143331&partnerID=8YFLogxK | en |