Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning-Reference-Cited by-同舟云学术

Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning

Published:2019-07-25 Issue:1 Volume:98 Page:
ISSN:1755-375X
Container-title:Acta Ophthalmologica
language:en
Short-container-title:Acta Ophthalmol

Author:

Hemelings Ruben¹²^ORCID,Elen Bart²,Barbosa-Breda João¹^ORCID,Lemmens Sophie¹,Meire Maarten³,Pourjavan Sayeh⁴,Vandewalle Evelien¹⁵,Van de Veire Sara⁶,Blaschko Matthew B.⁷,De Boever Patrick²⁸,Stalmans Ingeborg¹⁵

Affiliation:

1. Research Group Ophthalmology KU Leuven Leuven Belgium

2. VITO NV Mol Belgium

3. TC CS‐ADVISE KU Leuven Geel Belgium

4. Chirec Hospitals Brussel Belgium

5. Ophthalmology Department UZ Leuven Leuven Belgium

6. AZ Sint‐Jan Brugge Belgium

7. ESAT‐PSI KU Leuven Leuven Belgium

8. Hasselt University Diepenbeek Belgium

Publisher

Wiley

Subject

Ophthalmology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/aos.14193

Reference30 articles.

1. A deep learning model for the detection of both advanced and early glaucoma using fundus photography

2. Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier

3. Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration

4. Is it worthwhile to conduct a randomized controlled trial of glaucoma screening in the United Kingdom?

5. ChenX XuY Kee WongDW WongTY&LiuJ(2015):Glaucoma detection based on deep convolutional neural network. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Milan 715–718.https://doi.org/10.1109/embc.2015.7318462

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