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Author

Yu-Lung Chang

2 papers indexed here

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Open access Sep 2026

Triple-Path Kolmogorov–Arnold Networks with Deep Mutual Learning for Robust Retinal Microvascular Segmentation

Precise segmentation of the retinal microvasculature is vital for early detection and longitudinal monitoring of systemic cardiovascular and ophthalmic diseases. However, contemporary deep learning models struggle to simultaneously preserve fine-vessel branches and suppress background noise, often leading to severe und...

Yu-Lung Chang, Yen-Ching Chang · 0 citations
Conference Aug 2026

Optimizing multi-dimensional retinal segmentation: a performance-practicality analysis

This study introduces a multi-dimensional framework to systematically evaluate the generalization and computational efficiency of deep learning models for retinal vessel segmentation. Using the DRIVE and STARE datasets, this research evaluates the performance of SegNet, U-Net, and DeepLab across in-domain, cross-domain...

Yu-Lung Chang, Wei-Chun Chi, Yen-Ching Chang · 1 citation · ⚡1

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