DeepRetNet: Retinal Disease Classification using Attention UNet++ based Segmentation and Optimized Deep Learning Technique
Nancy W,
Prianka R R,
Porselvi R
et al.
Abstract:Human eyesight depends significantly on retinal tissue. The loss of eyesight may result from infections of the retinal tissue that are treated slowly or not at all. Furthermore, when a large dataset is involved, the diagnosis is susceptible to inaccuracies. Hence, a fully automated approach based on deep learning for diagnosing retinal illness is proposed in order to minimise human intervention while maintaining high precision in classification. The proposed Attention UNet++ based Deep Retinal Network (Attn_UN… Show more
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