Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 2; pp. 449 - 464 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2024
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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=174839904&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174839904 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2024 vid: 62 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 174839904 173214789 10.1007/s11517-023-02952-6 174839904 ppf: 449 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era. aug: au: Choi, Joon Yul Kim, Hyungsu Kim, Jin Kuk Lee, In Sik Ryu, Ik Hee Kim, Jung Soo Yoo, Tae Keun affil: https://ror.org/01wjejq96 Department of Biomedical Engineering, Yonsei University, Wonju, South Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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