Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features-Reference-Cited by-同舟云学术

Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features

Published:2022-04-15 Issue:4 Volume:11 Page:6
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Lachance Alexandre¹²,Godbout Mathieu³,Antaki Fares⁴,Hébert Mélanie¹²,Bourgault Serge¹²,Caissie Mathieu¹²,Tourville Éric¹²,Durand Audrey³⁵,Dirani Ali¹²

Affiliation:

1. Faculté de Médecine, Université Laval, Québec, QC, Canada

2. Département d'Ophtalmologie et d'oto-Rhino-Laryngologie – Chirurgie Cervico-Faciale, Centre Universitaire d'Ophtalmologie, Hôpital du Saint-Sacrement, CHU de Québec - Université Laval, Québec, QC, Canada

3. Département d'informatique et de Génie Logiciel, Université Laval, Québec, QC, Canada

4. Département d'ophtalmologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, QC, Canada

5. Département de Génie Électrique et de Génie Informatique, Université Laval, Québec, QC, Canada

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference36 articles.

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2. Factors predicting normal visual acuity following anatomically successful macular hole surgery;Fallico;Acta Ophthalmol,2021

3. Outcomes of eyes with failed primary surgery for idiopathic macular hole;Yek;Ophthalmol Retina,2018

4. Australian and New Zealand Society of Retinal Specialists Macular Hole Study Group. The visual outcomes of macular hole surgery: a registry-based study by the Australian and New Zealand society of retinal specialists;Essex;Ophthalmol Retina,2018

5. Factors affecting anatomical and visual outcome after macular hole surgery: findings from a large prospective UK cohort;Steel;Eye (Lond),2021

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