@inproceedings{753304b5933e4ca5ab0523c3d304ab5c,
title = "Elliptical local vessel density: A fast and robust quality metric for retinal images",
abstract = "A great effort of the research community is geared towards the creation of an automatic screening system able to promptly detect diabetic retinopathy with the use of fundus cameras. In addition, there are some documented approaches for automatically judging the image quality. We propose a new set of features independent of field of view or resolution to describe the morphology of the patient's vessels. Our initial results suggest that these features can be used to estimate the image quality in a time one order of magnitude shorter than previous techniques.",
author = "L. Giancardo and Abr{\`a}moff, {M. D.} and E. Chaum and Karnowski, {T. P.} and F. Meriaudeau and Tobin, {K. W.}",
year = "2008",
doi = "10.1109/iembs.2008.4649968",
language = "English",
isbn = "9781424418152",
series = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",
publisher = "IEEE Computer Society",
pages = "3534--3537",
booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",
note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",
}