Abstract
This review, titled CR-ODSeg-AP-CM2AI (Comprehensive Review of Optic Disc Segmentation in Adult and Pediatric Retinal Images: From Conventional Methods to Artificial Intelligence), explores optic disc segmentation techniques for adult and pediatric retinal images. It emphasizes the clinical implications of these techniques in diagnosing and monitoring retinal diseases across diverse populations. We systematically categorize each segmentation method, comparing traditional approaches with advancements in artificial intelligence (AI) to highlight innovative hybrid techniques that enhance segmentation accuracy and efficiency. This review also discusses evaluation metrics and the use of larger datasets to provide insights into the effectiveness and robustness of these methods.
Published Version
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