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pith:PTDMVUVX

pith:2026:PTDMVUVX3OTG4WV2M6CET22RHH
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retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers

Bart Liefers, Caroline C.W. Klave, EyeNED Reading Center, Jose D. Vargas Quiros, Michael J. Beyeler, Sofia Ortin Vela, Sven Bergmann, VascX Research Consortium

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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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

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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

Aliases

arxiv: 2602.08580 · arxiv_version: 2602.08580v3 · doi: 10.48550/arxiv.2602.08580 · pith_short_12: PTDMVUVX3OTG · pith_short_16: PTDMVUVX3OTG4WV2 · pith_short_8: PTDMVUVX
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Verify this Pith Number yourself
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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    "submitted_at": "2026-02-09T12:19:33Z",
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