Comparison of Different Methods for Detecting Glaucomatous Visual Field Progression-Reference-Cited by-同舟云学术

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Comparison of Different Methods for Detecting Glaucomatous Visual Field Progression

Published:2003-09-01 Issue:9 Volume:44 Page:3873
ISSN:1552-5783
Container-title:Investigative Opthalmology & Visual Science
language:en
Short-container-title:Invest. Ophthalmol. Vis. Sci.

Author:

Vesti Eija¹,Johnson Chris A.²,Chauhan Balwantray C.³

Affiliation:

1. From Discoveries in Sight, Devers Eye Institute, Portland, Oregon; the2Helsinki University Eye Hospital, Helsinki, Finland; and the

2. From Discoveries in Sight, Devers Eye Institute, Portland, Oregon; the

3. Department of Ophthalmology, Dalhousie University, Halifax, Nova Scotia, Canada.

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

General Medicine

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3. The Finnish current care guideline for open‐angle glaucoma;Acta Ophthalmologica;2024-01-04

4. Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management;Scientific Data;2023-08-05

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