pith:TUW2EGOX
PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification
PRISM classifies acute lymphoblastic leukemia cells by building adaptive concentric zones around the nucleus to extract color and texture features without detecting cell boundaries.
arxiv:2605.12851 v1 · 2026-05-13 · cs.CV · cs.AI
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Claims
PRISM replaces explicit cytoplasmic delineation with adaptive concentric zones constructed around the nucleus to enable robust cytoplasmic descriptors, achieving an accuracy of 98.46% and a precision-recall AUC of 0.9937 via a calibrated stacking ensemble.
That adaptive concentric perinuclear zones constructed around the nucleus will consistently capture sufficient color and texture information for reliable classification despite substantial variability in cytoplasmic appearance, staining, and acquisition conditions, without requiring accurate cell-boundary detection.
PRISM classifies Acute Lymphoblastic Leukemia in blood smears by extracting features from perinuclear ring zones around nuclei, achieving 98.46% accuracy and 0.9937 precision-recall AUC without explicit cell boundary detection.
References
Receipt and verification
| First computed | 2026-05-18T03:09:11.841236Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d2da219d7e5c8544e1f6a5e0c5bfc740daa3698371149da79eae4e10dd75bbf
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TUW2EGOX4XEFITQ7NJPAYW74OQ \
| jq -c '.canonical_record' \
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Canonical record JSON
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