Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction

By Mohammad Saleh Miri, Ali Mahlooji Far. IEEE Transactions on Biomedical Engineering, 2011

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Hierarchical retinal blood vessel segmentation based on feature and ensemble learning (2015, neutral): “Miri [34] 2011 0.”
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images (2017, background): “task is performed by means of morphological operations [22], matched filter responses [23]–[25], the complex continuous wavelet transform [26], among others [27].”
Blood vessel segmentation methodologies in retinal images - A survey (2012, methodology): “[62] M.”
Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification (2015, methodology): “Another morphology-based method in [16] uses multiple structuring elements to extract vessel ridges followed by connected component analysis.”