- Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images
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Septiarini A, Khairina D, Kridalaksana AH, Hamdani H
- KMID: 2403296
- Healthc Inform Res.
- 2018 Jan;24(1):53-60.
- doi: 10.4258/hir.2018.24.1.53
OBJECTIVES: Glaucoma is an incurable eye disease and the second leading cause of blindness in the world. Until 2020, the number of patients of this disease is estimated to increase.... -
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- Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
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Septiarini A, Harjoko A, Pulungan R, Ekantini R
- KMID: 2434549
- Healthc Inform Res.
- 2018 Oct;24(4):335-345.
- doi: 10.4258/hir.2018.24.4.335
OBJECTIVES: The retinal nerve fiber layer (RNFL) is a site of glaucomatous optic neuropathy whose early changes need to be detected because glaucoma is one of the most common causes... -
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- Automatic Method for Optic Disc Segmentation Using Deep Learning on Retinal Fundus Images
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Septiarini A, Hamdani H, Setyaningsih E, Junirianto E, Utaminingrum F
- KMID: 2542140
- Healthc Inform Res.
- 2023 Apr;29(2):145-151.
- doi: 10.4258/hir.2023.29.2.145
Objectives: The optic disc is part of the retinal fundus image structure, which influences the extraction of glaucoma features. This study proposes a method that automatically segments the optic disc... -
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