pith:PTDMVUVX
retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers
VascX is an open-source Python toolbox that extracts reproducible retinal vascular biomarkers by building graphs from artery-vein segmentations.
arxiv:2602.08580 v3 · 2026-02-09 · q-bio.TO · cs.CV
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\usepackage{pith}
\pithnumber{PTDMVUVX3OTG4WV2M6CET22RHH}
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Claims
VascX provides an explainable and easily modifiable feature-extraction toolbox that complements segmentation to produce reliable retinal vascular biomarkers. Our graph-based biomarker computation stages support reproducible, region-aware measurements suited for large-scale clinical and epidemiological research.
The input artery-vein segmentation masks are accurate enough for downstream graph construction, and the heuristic rules for resolving vessel segments and computing biomarkers remain robust across different imaging devices, image qualities, and parameter choices.
VascX is an open-source toolbox that computes retinal vascular biomarkers including vascular density, central retinal equivalents, and tortuosity from artery-vein segmentations, with moderate to excellent test-retest reproducibility on multi-device repeat imaging.
Receipt and verification
| First computed | 2026-06-02T03:04:38.453030Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7cc6cad2b7dba66e5aba678449eb5139d51a08af8fad03b93e5b63dc687264c8
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/PTDMVUVX3OTG4WV2M6CET22RHH \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7cc6cad2b7dba66e5aba678449eb5139d51a08af8fad03b93e5b63dc687264c8
Canonical record JSON
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