Back to search

Article

DAMMGA-Net: Direction-Aware Attention with Genetic Algorithm-Optimized Loss for Retinal Vessel Segmentation

2026-04-24

Abstract excerpt

<title>Abstract</title> <p>Retinal vessel segmentation is fundamental for early screening and quantitative analysis of fundus diseases, yet frequent fragmentation of fine vessels, pronounced scale variation, and severe foreground--background imbalance still limit structural continuity and detail preservation. To address these challenges, we propose DAMMGA-Net, a lightweight retinal vessel segmentation framework b...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
41f3e59e-8266-5cc2-9708-2ab2929574de
DOI
10.21203/rs.3.rs-8934073/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
DAMMGA-Net: Direction-Aware Attention with Genetic Algorithm-Optimized Loss for Retinal Vessel SegmentationDOI 10.21203/rs.3.rs-8934073/v1
Select a neighboring publication to make it the new centre.