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- W4300319567 abstract "Glaucoma is a disorder wherein the optic nerve head's structural and functional integrity deteriorates over time, resulting in functional impairment, disability, and blindness. It is an eye disease caused by a long-term neurological condition. The majority of glaucoma sufferers are completely ignorant of their illness until it has advanced to the point where vision is impaired. Total vision loss may typically be avoided with early discovery and screening, as well as prompt treatment. The purpose of this survey report is to compare various strategies depending on their effectiveness and performance measures. The algorithm assists by identifying and recognizing the significant pattern presented in dataset. The article provides brief survey of different methodologies used in automated glaucoma and then propose system using different CNN models like ResNet50, VGG19, and InceptionV3, ResNext101 and Google Net for detection of Glaucoma." @default.
- W4300319567 created "2022-10-03" @default.
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- W4300319567 date "2022-04-27" @default.
- W4300319567 modified "2023-09-27" @default.
- W4300319567 title "Retinal Glaucoma Detection: An Overview" @default.
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- W4300319567 doi "https://doi.org/10.1109/iciem54221.2022.9853159" @default.
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