Investigators target algorithm for diagnosing glaucoma.
| Publicado en: | Ophthalmology Times Vol. 45; no. 10; pp. 16 - 17 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
MJH Life Sciences
6/15/2020
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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=143809502&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143809502 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0193032X OTI jtl: Ophthalmology Times issn: 0193032X maglogo: N pubinfo: dt: 6/15/2020 vid: 45 iid: 10 pid: 54670 pub: MJH Life Sciences place: Cranbury, New Jersey artinfo: ui: 143809502 143809502 ppf: 16 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Investigators target algorithm for diagnosing glaucoma. aug: au: Lenier, Steve Thompson, Atalie C. affil: Senior resident in ophthalmology at Duke Eye Center in Durham, North Carolina sug: subj: Glaucoma Diagnosis Diagnosis, Eye Methods Algorithms Tomography, Optical Coherence Glaucoma Pathology Image Processing, Computer Assisted Retina Pathology pubtype: Trade Publication doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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