{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T09:47:26Z","timestamp":1782899246122,"version":"3.54.5"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2999079","type":"journal-article","created":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T21:32:05Z","timestamp":1591047125000},"page":"105286-105300","source":"Crossref","is-referenced-by-count":10,"title":["Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9505-1649","authenticated-orcid":false,"given":"Qiming","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6104-2322","authenticated-orcid":false,"given":"Hongyang","family":"Chao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steve","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00981"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref32","article-title":"BAGAN: Data augmentation with balancing GAN","author":"mariani","year":"2018","journal-title":"arXiv 1803 09655"},{"key":"ref31","first-page":"2","article-title":"Sensitivity and generalization in neural networks: An empirical study","author":"novak","year":"2018","journal-title":"Proc ICLR"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2613502"},{"key":"ref37","article-title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"geirhos","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-52737-x"},{"key":"ref35","article-title":"GAN augmentation: Augmenting training data using generative adversarial networks","author":"bowles","year":"2018","journal-title":"arXiv 1810 10863"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947606"},{"key":"ref28","article-title":"Res2Net: A new multi-scale backbone architecture","author":"gao","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref2","author":"hultstrom","year":"2002","journal-title":"Standards for Cancer Registries Volume II Data Standards and Data Dictionary"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2017.12.013"},{"key":"ref20","article-title":"TG263-Net: A deep learning model for organs-at-risk nomenclature standardization","author":"rhee","year":"0"},{"key":"ref22","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref23","first-page":"2254","article-title":"Discovering object categories in image collections","author":"sivic","year":"2005","journal-title":"Proc ICCV"},{"key":"ref26","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc ICLR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.03.011"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2263388"},{"key":"ref54","year":"2014","journal-title":"Seatgeek Fuzzywuzzy"},{"key":"ref53","author":"jolliffe","year":"2002","journal-title":"Principal Component Analysis"},{"key":"ref52","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2015.10.024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.adro.2016.10.001"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00530"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13300"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v059.i10"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/0471448354.ch4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.prro.2015.11.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2016.04.007"},{"key":"ref17","article-title":"Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling","author":"rozario","year":"2017","journal-title":"arXiv 1801 00096"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2265603"},{"key":"ref19","article-title":"Atlas-based methods in radiotherapy treatment of head and neck cancer","author":"duc","year":"2013"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.4922686"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2011.09.054"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2015.10.052"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2009.06.094"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.adro.2018.09.013"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2014.10.001"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12197"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2013.11.001"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-10371-5"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2015.07.041"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref47","article-title":"Data from head-neck-PET-CT","author":"valli\u00e8res","year":"2017","journal-title":"The Cancer Imaging Archive"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877890"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref43","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc NeurIPS"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09104998.pdf?arnumber=9104998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:39Z","timestamp":1641949779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9104998\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2999079","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}