This paper introduces a lightweight model customized for semantic segmentation of Optical Coherence Tomography (OCT) images, specifically focusing on retina layer segment semantic segmentation for edge devices. The model strikes a balances between accuracy and computational efficiency, rendering it ideal for real-time deployment on devices with constrained resources.
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Chang et al. (2024) studied this question.
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