A Osareh1, M Mirmehdi, B Thomas, R Markham. 1. Department of Computer Science, University of Bristol, Merchant Ventures Building, Woodland Road, Bristol BS8 1UB, UK. a.osareh@bristol.ac.uk
Abstract
AIM: To identify retinal exudates automatically from colour retinal images. METHODS: The colour retinal images were segmented using fuzzy C-means clustering following some key preprocessing steps. To classify the segmented regions into exudates and non-exudates, an artificial neural network classifier was investigated. RESULTS: The proposed system can achieve a diagnostic accuracy with 95.0% sensitivity and 88.9% specificity for the identification of images containing any evidence of retinopathy, where the trade off between sensitivity and specificity was appropriately balanced for this particular problem. Furthermore, it demonstrates 93.0% sensitivity and 94.1% specificity in terms of exudate based classification. CONCLUSIONS: This study indicates that automated evaluation of digital retinal images could be used to screen for exudative diabetic retinopathy.
AIM: To identify retinal exudates automatically from colour retinal images. METHODS: The colour retinal images were segmented using fuzzy C-means clustering following some key preprocessing steps. To classify the segmented regions into exudates and non-exudates, an artificial neural network classifier was investigated. RESULTS: The proposed system can achieve a diagnostic accuracy with 95.0% sensitivity and 88.9% specificity for the identification of images containing any evidence of retinopathy, where the trade off between sensitivity and specificity was appropriately balanced for this particular problem. Furthermore, it demonstrates 93.0% sensitivity and 94.1% specificity in terms of exudate based classification. CONCLUSIONS: This study indicates that automated evaluation of digital retinal images could be used to screen for exudative diabetic retinopathy.
Authors: Benjamin Béouche-Hélias; David Helbert; Cynthia de Malézieu; Nicolas Leveziel; Christine Fernandez-Maloigne Journal: J Med Imaging (Bellingham) Date: 2017-11-16
Authors: Carla Agurto; Victor Murray; Eduardo Barriga; Sergio Murillo; Marios Pattichis; Herbert Davis; Stephen Russell; Michael Abramoff; Peter Soliz Journal: IEEE Trans Med Imaging Date: 2010-02 Impact factor: 10.048
Authors: Meindert Niemeijer; Bram van Ginneken; Stephen R Russell; Maria S A Suttorp-Schulten; Michael D Abràmoff Journal: Invest Ophthalmol Vis Sci Date: 2007-05 Impact factor: 4.799
Authors: Hongying Lilian Tang; Jonathan Goh; Tunde Peto; Bingo Wing-Kuen Ling; Lutfiah Ismail Al Turk; Yin Hu; Su Wang; George Michael Saleh Journal: PLoS One Date: 2013-07-01 Impact factor: 3.240