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240    CHAPTER 12  Diabetic retinopathy and maculopathy lesions




                             retinopathy from stereoscopic color fundus photographs—an extension of the modified
                             Airlie House classification: ETDRS report number 10, Ophthalmology 98 (5) (1991)
                             786–806.
                          [13]  D.E. Singer, D.M. Nathan, H.A. Fogel, A.P. Schachat, Screening for diabetic retinopathy,
                             Ann. Intern. Med. 116 (8) (1992) 660–671.
                          [14]  J. Mehlsen, M. Erlandsen, P.L. Poulsen, T. Bek, Identification of independent risk factors
                             for the development of diabetic retinopathy requiring treatment, Acta Ophthalmol. 89 (6)
                             (2011) 515–521.
                          [15]  Early Treatment Diabetic Retinopathy Study Research Group, Early photocoagulation for
                             diabetic retinopathy: ETDRS report number 9, Ophthalmology 98 (5) (1991) 766–785.
                          [16]  E.M. Kohner, I.M. Stratton, S.J. Aldington, R.C. Turner, D.R. Matthews, UK Prospective
                             Diabetes  Study (UKPDS)  Group,  Microaneurysms  in  the development of diabetic
                             retinopathy (UKPDS 42), Diabetologia 42 (9) (1999) 1107–1112.
                          [17]  R.  Donnelly,  E.  Horton,  Vascular  Complications  of  Diabetes:  Current  Issues  in
                             Pathogenesis and  Treatment, second ed.,  Wiley-Blackwell, 2005.  Available from:
                             https://www.amazon.com/Vascular-Complications-Diabetes-Pathogenesis-Treatment/
                             dp/1405127856.
                          [18]  O.P. Van Bijsterveld, Diabetic Retinopathy, Martin Dunitz, London, 2000.
                          [19]  A.K.  Sjølie, R.  Klein, M.  Porta,  T.  Orchard, J.  Fuller, H.H.  Parving, R.  Bilous,
                             S.  Aldington, N.  Chaturvedi, Retinal microaneurysm count predicts progression and
                             regression of diabetic retinopathy. Post-hoc results from the DIRECT Programme,
                             Diabet. Med. 28 (3) (2011) 345–351.
                          [20]  P. Chudzik, S. Majumdar, F. Caliva, B. Al-Diri, A. Hunter, Microaneurysm detection
                             using fully convolutional neural networks, Comput. Methods Programs Biomed. 158
                             (2018) 185–192.
                           [21]  L.A.  Yannuzzi, K.T.  Rohrer, L.J.  Tindel, R.S.  Sobel, M.A.  Costanza,  W.  Shields,
                             E. Zang, Fluorescein angiography complication survey, Ophthalmology 93 (5) (1986)
                             611–617.
                          [22]  C.E. Baudoin, B.J. Lay, J.C. Klein, Automatic detection of microaneurysms in diabetic
                             fluorescein angiography, Rev Epidemiol. Sante Publique 32 (3–4) (1983) 254–261.
                          [23]  T. Walter, P. Massin, A. Erginay, R. Ordonez, C. Jeulin, J.-C. Klein, Automatic detection
                             of microaneurysms in color fundus images, Med. Image Anal. 11 (6) (2007) 555–566.
                          [24]  L. Streeter, M.J. Cree, Microaneurysm detection in colour fundus images, Image and
                             Vision Computing, 2003, pp. 280–284.
                          [25]  B. Harangi, I. Lazar, A. Hajdu, Automatic exudate detection using active contour model
                             and regionwise classification, Engineering in Medicine and Biology Society (EMBC),
                             2012 Annual International Conference of the IEEE, IEEE, 2012, pp. 5951–5954.
                          [26]  Z. Xiaohui, A. Chutatape, Detection and classification of bright lesions in color fundus
                             images, International Conference on Image Processing, 2004, ICIP’04, vol. 1, IEEE,
                             2004, pp. 139–142.
                          [27]  M. Niemeijer, B. van Ginneken, S.R. Russell, M.S.A. Suttorp-Schulten, M.D. Abramoff,
                             Automated detection and differentiation of drusen, exudates, and cotton-wool spots in
                             digital color fundus photographs for diabetic retinopathy diagnosis, Invest. Ophthalmol.
                             Vis. Sci. 48 (5) (2007) 2260–2267.
                          [28]  A. Rocha, T. Carvalho, H.F. Jelinek, S. Goldenstein, J. Wainer, Points of interest and
                             visual dictionaries for automatic retinal lesion detection, IEEE Trans. Biomed. Eng. 59
                             (8) (2012) 2244–2253.
                          [29]  D.  Veiga, N.  Martins, M.  Ferreira, J.  Monteiro, Automatic microaneurysm detection
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