An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images.
- DOI
- 10.1109/tbme.2017.2752701
- Published
- 2018 Jun
- Container
- IEEE transactions on bio-medical engineering
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tbme.2017.2752701,
title = {An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images.},
author = {Adal KM and van Etten PG and Martinez JP and Rouwen KW and Vermeer KA and van Vliet LJ},
year = {2018},
journal = {IEEE transactions on bio-medical engineering},
doi = {10.1109/tbme.2017.2752701},
url = {https://doi.org/10.1109/tbme.2017.2752701}
}RIS
TY - JOUR TI - An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images. AU - Adal KM AU - van Etten PG AU - Martinez JP AU - Rouwen KW AU - Vermeer KA AU - van Vliet LJ PY - 2018 JO - IEEE transactions on bio-medical engineering DO - 10.1109/tbme.2017.2752701 UR - https://doi.org/10.1109/tbme.2017.2752701 ER -
APA
KM, A., PG, V. E., JP, M., KW, R., KA, V., & LJ, V. V. (2018). An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images.. IEEE transactions on bio-medical engineering. https://doi.org/10.1109/tbme.2017.2752701
Source records
- pubmed · retrieved 2026-09-27T14:08:14.205Z