CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 4; pp. 1027 - 1045 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184038522&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184038522 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2025 vid: 63 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184038522 181129987 10.1007/s11517-024-03244-3 184038522 ppf: 1027 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images. aug: au: Yuan, Zhongzheng Wang, Jinke Xu, Yukun Xu, Min affil: https://ror.org/04e6y1282 Department of Software Engineering, Harbin University of Science and Technology, 264300, Weihai, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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