Automated Brightness and Contrast Adjustment of Color Fundus Photographs for the Grading of Age-Related Macular Degeneration | Zendy

Edem Tsikata | Zendy; Inês Laíns | Zendy; João Gil | Zendy; Marco Marques | Zendy; Kelsey Brown | Zendy; Tânia Mesquita | Zendy; Pedro Melo | Zendy; Maria Luz Cachulo | Zendy; Ivana K. Kim | Zendy; Demetrios G. Vavvas | Zendy; Joaquim Murta | Zendy; John B. Miller | Zendy; Rufino Silva | Zendy; Joan W. Miller | Zendy; Teresa C. Chen | Zendy; D. Husain | Zendy

Open Access

Automated Brightness and Contrast Adjustment of Color Fundus Photographs for the Grading of Age-Related Macular Degeneration

Author(s) -

Edem Tsikata,

Inês Laíns,

João Gil,

Marco Marques,

Kelsey Brown,

Tânia Mesquita,

Pedro Melo,

Maria Luz Cachulo,

Ivana K. Kim,

Demetrios G. Vavvas,

Joaquim Murta,

John B. Miller,

Rufino Silva,

Joan W. Miller,

Teresa C. Chen,

D. Husain

Publication year - 2017

Publication title -

translational vision science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.508

H-Index - 21

ISSN - 2164-2591

DOI - 10.1167/tvst.6.2.3

Subject(s) - brightness , rgb color model , artificial intelligence , computer vision , grading (engineering) , fundus (uterus) , contrast (vision) , computer science , macular degeneration , color balance , medicine , optometry , ophthalmology , color image , image processing , optics , engineering , civil engineering , physics , image (mathematics)

This work offers the potential to be the future of assessing and grading AMD from photos for clinical research and teleimaging.

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