{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T08:36:59Z","timestamp":1789547819728,"version":"build-2803163510"},"reference-count":16,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T00:00:00Z","timestamp":1738800000000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T00:00:00Z","timestamp":1738800000000},"content-version":"tdm","delay-in-days":5,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100020595","name":"National Science and Technology Council of Taiwan","doi-asserted-by":"crossref","award":["113-2221-E-992 -116 -"],"award-info":[{"award-number":["113-2221-E-992 -116 -"]}],"id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2025,2,1]]},"DOI":"10.1016\/j.medengphy.2025.104298","type":"journal-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T12:09:12Z","timestamp":1738843752000},"page":"104298","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Improved U-Net based on ResNet and SE-Net with dual attention mechanism for glottis semantic segmentation"],"prefix":"10.1088","volume":"136","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0404-6199","authenticated-orcid":true,"given":"Jui-Chung","family":"Ni","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7395-556X","authenticated-orcid":true,"given":"Shih-Hsiung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yen-Cheng","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chu-Sing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2025,2,6]]},"reference":[{"key":"br0010","first-page":"186","type":"other","article-title":"Bagls, a multihospital benchmark for automatic glottis segmentation","volume":"7","author":"G\u00f3mez","year":"2020"},{"key":"br0020","first-page":"749","type":"other","article-title":"Road extraction by deep residual u-net","volume":"15","author":"Zhang","year":"2018"},{"key":"br0030","first-page":"137","type":"other","article-title":"Glottisnetv2: temporal glottal midline detection using deep convolutional neural networks","volume":"11","author":"Kruse","year":"2023"},{"key":"br0040","first-page":"1","author":"Derdiman","year":"2021","type":"other"},{"key":"br0050","first-page":"89","author":"Huang","year":"2022","type":"other"},{"key":"br0060","type":"other","article-title":"Automatic glottis segmentation for laryngeal endoscopic images based on u-net","volume":"71","author":"Ding","year":"2022"},{"key":"br0070","first-page":"770","author":"He","year":"2016","type":"other"},{"key":"br0080","first-page":"1314","type":"other","article-title":"A deep residual u-net convolutional neural network for automated lung segmentation in computed tomography images","volume":"40","author":"Khanna","year":"2020"},{"key":"br0090","first-page":"7132","author":"Hu","year":"2018","type":"other"},{"key":"br0100","first-page":"3141","author":"Fu","year":"2019","type":"other"},{"key":"br0110","first-page":"9791","type":"other","article-title":"Re-training of convolutional neural networks for glottis segmentation in endoscopic high-speed videos","volume":"12","author":"D\u00f6llinger","year":"2022"},{"key":"br0120","type":"other","article-title":"Long-term performance assessment of fully automatic biomedical glottis segmentation at the point of care","volume":"17","author":"Groh","year":"2022"},{"key":"br0130","type":"other","article-title":"A single latent channel is sufficient for biomedical glottis segmentation","volume":"12","author":"Kist","year":"2022"},{"key":"br0140","first-page":"139356","type":"other","article-title":"Efficient biomedical image segmentation on edgetpus at point of care","volume":"8","author":"Kist","year":"2020"},{"key":"br0150","first-page":"1026","author":"He","year":"2015","type":"other"},{"key":"br0160","type":"other","article-title":"Dan-nucnet: a dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions","volume":"213","author":"Ahmad","year":"2023"}],"container-title":["Medical Engineering & Physics"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453325000177?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453325000177?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104298","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104298\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104298\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104298\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T15:01:53Z","timestamp":1769094113000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104298"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,1]]},"references-count":16,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,2,6]]},"published-print":{"date-parts":[[2025,2,1]]}},"URL":"https:\/\/doi.org\/10.1016\/j.medengphy.2025.104298","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,1]]},"assertion":[{"value":"Improved U-Net based on ResNet and SE-Net with dual attention mechanism for glottis semantic segmentation","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2025 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2024-03-01","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2025-02-05","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2025-02-06","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}