Automated Segmentation of Neural Canal Opening and Optic Cup in 3D Spectral Optical Coherence Tomography Volumes of the Optic Nerve Head | Zendy

Zhihong Hu | Zendy; Michael D. Abràmoff | Zendy; Young H. Kwon | Zendy; Kyungmoo Lee | Zendy; Mona K. Garvin | Zendy

Open Access

Automated Segmentation of Neural Canal Opening and Optic Cup in 3D Spectral Optical Coherence Tomography Volumes of the Optic Nerve Head

Author(s) -

Zhihong Hu,

Michael D. Abràmoff,

Young H. Kwon,

Kyungmoo Lee,

Mona K. Garvin

Publication year - 2010

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.09-4838

Subject(s) - optical coherence tomography , glaucoma , optic cup (embryology) , optic disc , optic nerve , segmentation , fundus (uterus) , artificial intelligence , margin (machine learning) , pixel , ophthalmology , optic disk , computer science , anatomy , medicine , chemistry , biochemistry , machine learning , gene , eye development , phenotype

To develop an automated approach for segmenting the neural canal opening (NCO) and cup at the level of the retinal pigment epithelium (RPE)/Bruch's membrane (BM) complex in spectral-domain optical coherence tomography (SD-OCT) volumes. To investigate the correspondence and discrepancy between the NCO-based metrics and the clinical disc margin on fundus photographs of glaucoma subjects.

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