Technical Review on Early Diagnosis of Types of Glaucoma Using Multi Feature Analysis Based on DBN Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4577-1_19
Reference16 articles.
1. Ajesh F, Ravi R, Rajakumar G (2021) Early diagnosis of glaucoma using multi-feature analysis and DBN based classification. J Ambient Intell Hum Comput 12:4027–4036. https://doi.org/10.1007/s12652-020-01771-z
2. Młynarczyk M, Falkowska M, Micun Z, Obuchowska I (2022) Diet, oxidative stress, and blood serum nutrients in various types of glaucoma: a systematic review. Nutrients 14(7):1421. https://doi.org/10.3390/nu14071421
3. Anton A, Fallon M, Cots F, Sebastian MA, Morilla-Grasa A, Mojal S, Castells X (2017) Cost and detection rate of glaucoma screening with imaging devices in a primary care center. Clin Ophthalmol 11:337–346. https://doi.org/10.2147/OPTH.S120398
4. Gupta N, Garg H, Agarwal R (2021) A robust framework for glaucoma detection using CLAHE and EfficientNet. Vis Comput 38(7):1–14. https://doi.org/10.1007/s00371-021-02114-5
5. Garside K, Henderson R, Makarenko I, Masoller C (2019) Topological data analysis of high resolution diabetic retinopathy images. PLoS ONE 14(5):e0217413. https://doi.org/10.1371/journal.pone.0217413
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