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Attributes of the retinal vessel play important role in systemic conditions and ophthalmic diagnosis. In this paper, a supervised method based on Extreme Learning Machine (ELM) is proposed to segment retinal vessel. Firstly, a set of 39-D discriminative feature vectors, consisting of local features, morphological features, phase congruency, Hessian and divergence of vector fields, is extracted for...
This paper propose an improved supervised method for retinal vessel segmentation based on Extreme Learning Machine (ELM). Firstly, a 36-D feature vector is extracted for each pixel of the fund us image consisting of local features, morphological features and divergence of vector fields. Then a matrix for pixels of the training set using the feature vector and the manual segmentation is constructed...
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