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| Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images |
| Anindita Septiarini, Dyna M. Khairina, Awang H. Kridalaksana, Hamdani Hamdani |
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Healthc Inform Res. 2018;24(1):53-60. Published online January 31, 2018 DOI: https://doi.org/10.4258/hir.2018.24.1.53 |
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Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images Healthcare Informatics Research. 2018;24(1):53  A Deep Learning-based Automatic Method for Early Detection of the Glaucoma using Fundus Images 2021 International Conference on Innovative Computing (ICIC). 2021; CNN with Multiple Input for automatic glaucoma assessment using Fundus Images . 2021; Statistical Parameters for Glaucoma Detection from Color Fundus Images Procedia Computer Science. 2020;171:2675-2683 Survey on Automatic Detection of Glaucoma through Deep Learning Using Retinal Fundus Images Journal of Biomedical Engineering and Medical Imaging. 2020;7(4):11-15 Detection of Glaucoma in Retinal Fundus Images Using Fast Fuzzy C means clustering approach 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). 2019; Efficient Detection of Glaucoma Using Statistical Feature of Fundus Image 2020 IEEE Region 10 Symposium (TENSYMP). 2020; Glaucoma Identification on Fundus Retinal Images Using Statistical Modelling Approach IOP Conference Series: Materials Science and Engineering. 2019;546(5):052010 A Review on Automatic Glaucoma Detection in Retinal Fundus Images Data Engineering and Communication Technology. 2020;485-498 Deep Learning-Based Automatic Glaucoma Assessment Using Fundus Images 2022 International Conference on Computer, Power and Communications (ICCPC). 2022; |
