TY - GEN
T1 - Automatic retina exudates segmentation without a manually labelled training set
AU - Giancardo, L.
AU - Meriaudeau, F.
AU - Karnowski, T. P.
AU - Li, Y.
AU - Tobin, K. W.
AU - Chaum, E.
PY - 2011
Y1 - 2011
N2 - Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy which can be assessed by detecting exudates (a type of bright lesion) in fundus images. In this work, two new methods for the detection of exudates are presented which do not use a supervised learning step; therefore, they do not require labelled lesion training sets which are time consuming to create, difficult to obtain and prone to human error. We introduce a new dataset of fundus images from various ethnic groups and levels of DME which we have made publicly available. We evaluate our algorithm with this dataset and compare our results with two recent exudate segmentation algorithms. In all of our tests, our algorithms perform better or comparable with an order of magnitude reduction in computational time.
AB - Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy which can be assessed by detecting exudates (a type of bright lesion) in fundus images. In this work, two new methods for the detection of exudates are presented which do not use a supervised learning step; therefore, they do not require labelled lesion training sets which are time consuming to create, difficult to obtain and prone to human error. We introduce a new dataset of fundus images from various ethnic groups and levels of DME which we have made publicly available. We evaluate our algorithm with this dataset and compare our results with two recent exudate segmentation algorithms. In all of our tests, our algorithms perform better or comparable with an order of magnitude reduction in computational time.
KW - computer-aided diagnosis
KW - fundus image database
KW - retina normalisation
KW - segmentation
UR - https://www.scopus.com/pages/publications/80055033345
U2 - 10.1109/ISBI.2011.5872661
DO - 10.1109/ISBI.2011.5872661
M3 - Conference contribution
AN - SCOPUS:80055033345
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1396
EP - 1400
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011
Y2 - 30 March 2011 through 2 April 2011
ER -