arXiv (All)
open access
Observer Choice and Threshold Selection in Retinal Vessel Segmentation: A Subject-Separated Evaluation
The annotation used to select a segmentation threshold is part of the evaluation protocol, yet its effect is easily conflated with model quality. We examine this choice for retinal vessel segmentation using all 28 CHASE DB1 images and both human annotations. A fixed seven-fold protocol keeps both ey
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ESRVS: Extreme Semi-Supervised Retinal Vessel Segmentation with a Single Annotated Image#405667
- Vascular-aware mixture-of-experts with a texture-enhanced decoder for accurate X-ray vessel segmentation.#1167237
- Test-time adaptation with salip: A cascade of sam and clip for zero-shot medical image segmentation#442284
- DA-FRNet: A Continuity-Focused Deformable Attention Network for Retinal Vessel Segmentation in OCTA#238693
- Fractional Active Contour Model with Adaptive Hessian Weighting for Mammogram Segmentation#376903
Record · ID 1061235
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive