Automatic Drusen Quantification and Risk Assessment of Age-Related Macular Degeneration on Color Fundus Images | Zendy

Mark J. J. P. van Grinsven | Zendy; Yara T. E. Lechanteur | Zendy; Johannes P. H. van de Ven | Zendy; Bram van Ginneken | Zendy; Carel B. Hoyng | Zendy; Thomas Theelen | Zendy; Clara I. Sá‎nchez | Zendy

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Automatic Drusen Quantification and Risk Assessment of Age-Related Macular Degeneration on Color Fundus Images

Author(s) -

Mark J. J. P. van Grinsven,

Yara T. E. Lechanteur,

Johannes P. H. van de Ven,

Bram van Ginneken,

Carel B. Hoyng,

Thomas Theelen,

Clara I. Sá‎nchez

Publication year - 2013

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.12-11449

Subject(s) - drusen , macular degeneration , receiver operating characteristic , fundus (uterus) , intraclass correlation , artificial intelligence , cad , computer science , medicine , ophthalmology , machine learning , reproducibility , mathematics , statistics , engineering drawing , engineering

To evaluate a machine learning algorithm that allows for computer-aided diagnosis (CAD) of nonadvanced age-related macular degeneration (AMD) by providing an accurate detection and quantification of drusen location, area, and size.

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