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What is Automated Glaucoma Screening Method about?
This article presents a novel automated glaucoma screening method that integrates clinical measurement features with image-based features using an improved UNet++ neural network for optic disc and cup segmentation. The method employs an increasing field of view (IFOV) feature model for extracting hidden image features and utilizes a gradient boosting decision tree classifier for detection. Experimental results demonstrate the method
- Author
- sakshi96078
- Language
- EN