A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 7; pp. 2029 - 2047 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2025
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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=186243659&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186243659 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2025 vid: 63 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 186243659 182823157 10.1007/s11517-025-03314-0 186243659 ppf: 2029 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images. aug: au: Khan, Sultan Daud Basalamah, Saleh Lbath, Ahmed affil: https://ror.org/05e21fw44 Department of Computer Science, National University of Technology, Islamabad, Pakistan sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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