DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images | Zendy

Haris Cheong | Zendy; Sripad Krishna Devalla | Zendy; Tan Hung Pham | Zendy; Liang Zhang | Zendy; Tin A. Tun | Zendy; Xiaofei Wang | Zendy; Shamira Perera | Zendy; Leopold Schmetterer | Zendy; Tin Aung | Zendy; Craig Boote | Zendy; Alexandre H. Thiéry | Zendy; Michaël J. A. Girard | Zendy

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DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images

Author(s) -

Haris Cheong,

Sripad Krishna Devalla,

Tan Hung Pham,

Liang Zhang,

Tin A. Tun,

Xiaofei Wang,

Shamira Perera,

Leopold Schmetterer,

Tin Aung,

Craig Boote,

Alexandre H. Thiéry,

Michaël J. A. Girard

Publication year - 2020

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.9.2.23

Subject(s) - optical coherence tomography , nerve fiber layer , artificial intelligence , contrast (vision) , outer plexiform layer , computer science , optic nerve , retina , computer vision , glaucoma , segmentation , retinal , biomedical engineering , optics , ophthalmology , materials science , medicine , physics

DeshadowGAN could be integrated to existing OCT devices to improve the diagnosis and prognosis of ocular pathologies.

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