121891 20240319081029.0 doi 10.3390/diagnostics12123210 sideral 132242 ART-2022-132242 eng Ávila, Francisco J. Universidad de Zaragoza (orcid)0000-0002-9068-7728 Superpixel-Based Optic Nerve Head Segmentation Method of Fundus Images for Glaucoma Assessment 2022 Access copy available to the general public Unrestricted Glaucoma disease is the second leading cause of blindness in the world. This progressive ocular neuropathy is mainly caused by uncontrolled high intraocular pressure. Although there is still no cure, early detection and appropriate treatment can stop the disease progression to low vision and blindness. In the clinical practice, the gold standard used by ophthalmologists for glaucoma diagnosis is fundus retinal imaging, in particular optic nerve head (ONH) subjective/manual examination. In this work, we propose an unsupervised superpixel-based method for the optic nerve head (ONH) segmentation. An automatic algorithm based on linear iterative clustering is used to compute an ellipse fitting for the automatic detection of the ONH contour. The tool has been tested using a public retinal fundus images dataset with medical expert ground truths of the ONH contour and validated with a classified (control vs. glaucoma eyes) database. Results showed that the automatic segmentation method provides similar results in ellipse fitting of the ONH that those obtained from the ground truth experts within the statistical range of inter-observation variability. Our method is a user-friendly available program that provides fast and reliable results for clinicians working on glaucoma screening using retinal fundus images. info:eu-repo/grantAgreement/ES/AEI/PID2020-113919RB-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.6 2022 MEDICINE, GENERAL & INTERNAL 64 / 169 = 0.379 2022 Q2 T2 0.67 2022 Clinical Biochemistry 2022 Q2 3.6 2022 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Bueno, Juan M. Remón, Laura Universidad de Zaragoza (orcid)0000-0002-3979-4528 2002 647 Universidad de Zaragoza Dpto. Física Aplicada Área Óptica 12, 12 (2022), 3210 [9 pp.] Diagnostics 2075-4418 3045742 http://zaguan.unizar.es/record/121891/files/texto_completo.pdf Versión publicada 2699280 http://zaguan.unizar.es/record/121891/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:121891 articulos driver 2024-03-18-17:02:48 ARTICLE