Evaluation of Automated Segmentation Algorithms for Optic Nerve Head Structures in Optical Coherence Tomography Images | Zendy

Xiangyun J. Duan | Zendy; Joan L. Jefferys | Zendy; Harry A. Quigley | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Evaluation of Automated Segmentation Algorithms for Optic Nerve Head Structures in Optical Coherence Tomography Images

Author(s) -

Xiangyun J. Duan,

Joan L. Jefferys,

Harry A. Quigley

Publication year - 2018

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.18-24469

Subject(s) - optical coherence tomography , optic nerve , significant difference , glaucoma , nuclear medicine , position (finance) , lamina , medicine , algorithm , segmentation , ophthalmology , mean difference , tomography , mathematics , artificial intelligence , anatomy , computer science , radiology , confidence interval , finance , economics

To compare the identification of optic nerve head (ONH) structures in optical coherence tomography images by observers and automated algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research