Ensemble learning for retinal disease recognition under limited resources.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 9; pp. 2839 - 2853 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2024
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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=179087854&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179087854 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2024 vid: 62 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179087854 176972691 10.1007/s11517-024-03101-3 179087854 ppf: 2839 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Ensemble learning for retinal disease recognition under limited resources. aug: au: Wang, Jiahao Peng, Hong Chen, Shengchao Ren, Sufen affil: https://ror.org/03q648j11 School of Information and Communication Engineering, Hainan University, 570228, Haikou, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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