Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study
- DOI
- 10.1007/s00417-020-04853-y
- Published
- 2020-09-16
- Container
- Graefe's Archive for Clinical and Experimental Ophthalmology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00417-020-04853-y,
title = {Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study},
author = {Valentina Sarao and Daniele Veritti and Paolo Lanzetta},
year = {2020},
journal = {Graefe's Archive for Clinical and Experimental Ophthalmology},
doi = {10.1007/s00417-020-04853-y},
url = {https://doi.org/10.1007/s00417-020-04853-y}
}RIS
TY - JOUR TI - Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study AU - Valentina Sarao AU - Daniele Veritti AU - Paolo Lanzetta PY - 2020 JO - Graefe's Archive for Clinical and Experimental Ophthalmology DO - 10.1007/s00417-020-04853-y UR - https://doi.org/10.1007/s00417-020-04853-y ER -
APA
Sarao, V., Veritti, D., & Lanzetta, P. (2020). Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study. Graefe's Archive for Clinical and Experimental Ophthalmology. https://doi.org/10.1007/s00417-020-04853-y
Source records
- crossref · retrieved 2026-09-26T15:52:06.365Z