Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching

By Marc Lalonde, Mario Beaulieu, Langis Gagnon. IEEE Transactions on Medical Imaging, 2001

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Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques (2010, neutral): “[21].”
Medical Image Segmentation Using Deep Learning: A Survey (2020, methodology): “[14] applied Hausdorff-based template matching to disc inspection, and Chen et al.”
Optic nerve head segmentation (2004, methodology): “[16], uses pyramidal decomposition and Hausdorff-based template matching.”
Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment (2011, positive): “Initial attempts have been made with shape-based template matching in which OD is modeled as a circular [28]–[30] or elliptical [31] object.”
Automated feature extraction in color retinal images by a model based approach (2004, methodology): “Only in [5], images with”
Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter (2008, methodology): “Some methods estimated the contour (boundary) of the OD as a circle or an ellipse (e.g., [1], [3], [7], and [ 10 ]).”