In this paper, an oval shape constraint based loss function is proposed to better segment optic disc and cup in color fundus photographs. It sufficiently ...
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An oval shape constraint based loss function (OS-loss) is proposed to improve the existing deep learning network for segmenting optic disc and cup and a ...
Oval Shape Constraint based Optic Disc and Cup Segmentation in Fundus Photographs. record by Xirong Li • Oval Shape Constraint based Optic Disc and Cup ...
Joint optic disc and cup segmentation, which utilizes the elliptical-like morphological features and spatial geometry constraint, could improve the performance ...
Missing: Oval | Show results with:Oval
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. April ... cup segmentation based. on multi-label deep network and polar transformation,”.
Abstract. Accurate segmentation of optic cup and disc in retinal fun- dus images is required to derive the cup-to-disc ratio (CDR) parameter.
Missing: Oval Photographs.
May 10, 2024 · This paper presents a systematic review of commonly used datasets, evaluation metrics, and related research results in the field of OD and OC ...
Oct 20, 2016 · Superpixel classification based optic disc and optic cup segmentation for glaucoma screening. IEEE Trans Med Imaging 2013;32: 1019-32; PMID ...