Dec 3, 2020 · This article primarily deals with the timely detection and classification of retinal images into healthy, neovascularization on optic disc, and elsewhere

Feb 5, 2021 · This article primarily deals with the timely detection and classification of retinal images into healthy, neovascularization on optic disc, and ...

Comparison results reveal that the ELM classifier outperforms the SVM classifier in terms of accuracy and error rate. Proliferative diabetic retinopathy is ...

In this paper, an automatic parallel detection framework for neovascularization with color retinal images using ensemble of extreme learning machine is proposed ...

An automatic detection of neovascularization in retinal images using extreme learning machine is proposed. Furthermore, we use a series of filter banks to ...

Feb 14, 2018 · An automatic detection of neovascularization in retinal images using extreme learning machine is proposed. Furthermore, we use a series of ...

An automatic detection of neovascularization in retinal images using extreme learning machine is proposed. Furthermore, we use a series of filter banks to get ...

This research article proposed a novel method for accurate vessel segmentation using 2-dimensional Gabor Wavelets and matrix convolution.

In this paper, an automatic parallel detection framework for neovascularization on retinal images using ensemble of extreme learning machine is introduced. The ...

The proposed algorithm improves the quality of automated diagnostic systems by eliminating normal blood vessels and exudates that might cause hindrances in ...