Article

Dual-Field Microvascular Segmentation: Hemodynamically-Consistent Attention Learning for Retinal Vasculature Mapping

2024-12-03

Abstract excerpt

Accurate retinal Microvascular segmentation demands a balanced combination of anatomical fidelity and hemodynamic relevance. However, existing methods fall short in preserving critical structures such as capillary junctions and bifurcations, thus limiting clinical applications and causing fragmentation. To address these limitations, we propose DFMS-Net, a novel dualfield segmentation framework that synergistically...

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Literature Corpus work: f63d017a-2028-53c7-aef1-4563dabf13c4
DOI: 10.1101/2024.11.27.625635

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