A comprehensive review of optic disc segmentation methods in adult and pediatric retinal images: from conventional methods to artificial intelligence (CR-ODSeg-AP-CM2AI)
IF 10.7 2区 计算机科学Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Avinash Bansal, Jan Kubíček, Marek Penhaker, Martin Augustynek
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引用次数: 0
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.
期刊介绍:
Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.