{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T20:07:23Z","timestamp":1773259643545,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFF1201200"],"award-info":[{"award-number":["2021YFF1201200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology Project","doi-asserted-by":"publisher","award":["20230201083GX"],"award-info":[{"award-number":["20230201083GX"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology Project","doi-asserted-by":"publisher","award":["20220201145GX"],"award-info":[{"award-number":["20220201145GX"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology Project","doi-asserted-by":"publisher","award":["20230201065GX"],"award-info":[{"award-number":["20230201065GX"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072212"],"award-info":[{"award-number":["62072212"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972174"],"award-info":[{"award-number":["61972174"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972175"],"award-info":[{"award-number":["61972175"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12205114"],"award-info":[{"award-number":["12205114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Universities Innovation Team Project","award":["2021KCXTD015"],"award-info":[{"award-number":["2021KCXTD015"]}]},{"name":"Key Disciplines Projects","award":["2021ZDJS138"],"award-info":[{"award-number":["2021ZDJS138"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3316689","type":"journal-article","created":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T18:05:59Z","timestamp":1695060359000},"page":"106516-106527","source":"Crossref","is-referenced-by-count":8,"title":["An Automatic Assessment Model of Adenoid Hypertrophy in MRI Images Based on Deep Convolutional Neural Networks"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6287-8125","authenticated-orcid":false,"given":"Ziling","family":"He","sequence":"first","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6441-9167","authenticated-orcid":false,"given":"Yubin","family":"Xiao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1147-3968","authenticated-orcid":false,"given":"Yanchun","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Zhuhai College of Science and Technology, Zhuhai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0013-1281","authenticated-orcid":false,"given":"You","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghui","family":"An","sequence":"additional","affiliation":[{"name":"Shanghai University of Traditional Chinese Medicine, Shanghai Municipal Hospital Traditional Chinese Medicine, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912945"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-051581-6.50061-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104614"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0146-664X(80)90054-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14063"},{"key":"ref37","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-03906-7"},{"key":"ref36","first-page":"15","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3002582"},{"key":"ref11","first-page":"109","article-title":"TransBTS: Multimodal brain tumor segmentation using transformer","author":"wang","year":"2021","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref33","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_85"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/ca.22373"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajodo.2005.05.050"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1227\/00006123-198601000-00008"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics11081386"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995741"},{"key":"ref18","article-title":"Numerical coordinate regression with convolutional neural networks","author":"nibali","year":"2018","journal-title":"arXiv 1801 07372"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00742"},{"key":"ref26","first-page":"873","article-title":"Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting","author":"chen","year":"2019","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_60"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref22","first-page":"483","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref21","first-page":"1799","article-title":"Joint training of a convolutional network and a graphical model for human pose estimation","author":"tompson","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref28","first-page":"81","article-title":"Automatic cobb angle detection using vertebra detector and vertebra corners regression","author":"khanal","year":"2019","journal-title":"Proc Int Workshop Challenge Comput Methods Clin Appl Spine Imag"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87589-3_62"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3009002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.133.3.401"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0003489419895035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijporl.2004.09.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2017.06.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1542\/peds.104.2.S1.370a"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1067\/mod.2001.116824"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10254541.pdf?arnumber=10254541","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T18:24:08Z","timestamp":1698085448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10254541\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3316689","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}