Diagnosing of diabetic retinopathy with image dehazing and capsule network

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Abstract

As it was discussed before in Chap. 4, the disease of diabetic retinopathy (DR) ensure terrible results such as blindness, it has been a remarkable medical problem examined recently. Here, especially retinal pathologies can be the biggest problem for millions of blindness cases seen world-wide [1]. When all the cases of blindness are examined in detail, it was reported that there are around 2 million diabetic retinopathy cases causing the blindness so that early diagnosis has taken many steps away in terms of having the highest priority in eliminating or at least slowing down disease factors (causing blindness) and so that reducing the rates of blindness at the final [2, 3].

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Kose, U., Deperlioglu, O., Alzubi, J., & Patrut, B. (2021). Diagnosing of diabetic retinopathy with image dehazing and capsule network. In Studies in Computational Intelligence (Vol. 909, pp. 145–155). Springer. https://doi.org/10.1007/978-981-15-6325-6_9

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