Figure 2 - uploaded by Gilbert Lim
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Source publication
There is predicted to be a rising demand for systems that can efficiently process and screen photographs of the retina, due to the increase in age and diabetes-related eye diseases. We survey the existing literature and discuss well-known approaches to the problem of automated diagnosis of retinal pathology and glaucoma. We propose a new lesion det...
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Deep learning (DL) is used in widespread applications including the medical sector. Particularly, Convolutional Neural Networks (CNNs) are architectures commonly used to classify or predicts retinal fundus photographs (RFP). However, the image noise located in the background of the RFP and space location of the retinal Region of Interest (ROI) can...
Citations
... summary statistics from primary component analysis (PCA), or candidate features such as size, shape and hue (Hunter et al., 2000;Sinthanayothin et al., 2002;Osareh et al., 2003;Usher et al., 2004). For a more comprehensive review of these advances, please refer to Lim (2015). ...
