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pith:TUW2EGOX

pith:2026:TUW2EGOX4XEFITQ7NJPAYW74OQ
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PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification

Andr\'e Ricardo Backes, Larissa Ferreira Rodrigues Moreira, Leonardo Gabriel Ferreira Rodrigues, Rodrigo Moreira

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

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

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[1] All-IDB: The acute lymphoblastic leukemia image database for image processing , year=
[2] Scotti, F. , booktitle=. Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images , year=
[3] XII Workshop de Vis
[4] Anais do XIV Workshop de Vis
[5] and Abdeldaim, Ahmed M · doi:10.1007/s00500-018-3288-5
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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

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9d2da219d7e5c8544e1f6a5e0c5bfc740daa3698371149da79eae4e10dd75bbf

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arxiv: 2605.12851 · arxiv_version: 2605.12851v1 · doi: 10.48550/arxiv.2605.12851 · pith_short_12: TUW2EGOX4XEF · pith_short_16: TUW2EGOX4XEFITQ7 · pith_short_8: TUW2EGOX
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TUW2EGOX4XEFITQ7NJPAYW74OQ \
  | 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: 9d2da219d7e5c8544e1f6a5e0c5bfc740daa3698371149da79eae4e10dd75bbf
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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