Optic disc detection based on fully convolutional network and weighted matrix recovery model.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 12; pp. 3319 - 3334 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2023
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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=174406132&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174406132 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2023 vid: 61 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 174406132 171383102 10.1007/s11517-023-02891-2 174406132 ppf: 3319 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Optic disc detection based on fully convolutional network and weighted matrix recovery model. aug: au: Wang, Siqi Yu, Xiaosheng Jia, Wenzhuo Chi, Jianning Lv, Pengfei Wang, Junxiang Wu, Chengdong affil: https://ror.org/03awzbc87 Faculty of Robot Science and Engineering, Northeastern University, 110170, Shen Yang, Liao Ning, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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