Automated detection of diabetic retinopathy using an improved deep learning model with smartphone images.
| Publicado en: | International Journal of Diabetes in Developing Countries Vol. 45; no. 3; pp. 606 - 619 |
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| Autor principal: | |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2025
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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=187233903&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187233903 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09733930 259E jtl: International Journal of Diabetes in Developing Countries issn: 09733930 maglogo: N pubinfo: dt: Sep2025 vid: 45 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187233903 182380229 187233903 187233903 10.1007/s13410-025-01444-7 187233903 ppf: 606 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated detection of diabetic retinopathy using an improved deep learning model with smartphone images. aug: au: Bhimavarapu, Usharani affil: https://ror.org/02k949197 Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India sug: subj: Diabetic Retinopathy Diagnosis Deep Learning Smartphone Diagnosis, Computer Assisted Mobile Applications Diagnostic Imaging Methods Automation Retina Pathology Human Neural Networks (Computer) Early Diagnosis Diagnostic Imaging Equipment and Supplies Sensitivity and Specificity Descriptive Statistics Diagnostic Imaging Economics Cost Savings Health Services Accessibility Patient Satisfaction pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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