Automated diagnosis of glaucoma using digital fundus images.
| Published in: | Journal of Medical Systems Vol. 33; no. 5; pp. 337 - 347 |
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| Main Authors: | , , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2009
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105327681&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105327681 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Oct2009 vid: 33 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105327681 2010441363 10.1007/s10916-008-9195-z NLM19827259 105327681 ppf: 337 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Automated diagnosis of glaucoma using digital fundus images. aug: au: Nayak J Acharya UR Bhat PS Shetty N Lim T affil: Department of E&C Engineering, Manipal Institute of Technology, Manipal 576104, India. sug: subj: Diagnosis, Computer Assisted Digital Imaging Glaucoma Diagnosis Adult Body Weights and Measures Diagnosis, Eye Methods Eye Anatomy and Histology False Positive Results Middle Age Neural Networks (Computer) Sensitivity and Specificity Human Adult: 19-44 years Middle Aged: 45-64 years pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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