Pith Number

pith:JS6TSMOL

pith:2026:JS6TSMOLH6HISDKUVKAFZKENN7

not attested not anchored not stored refs resolved

Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images

Aarushi Kulkarni, Alarice Lowe, Pratik Shah

Conditional GANs can destain and restain unregistered pathology slides from external institutions after simple preprocessing

arxiv:2605.14251 v1 · 2026-05-14 · cs.CV

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\usepackage{pith}
\pithnumber{JS6TSMOLH6HISDKUVKAFZKENN7}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

H&E restaining from computationally destained outputs outperformed direct staining from ground-truth unstained inputs across all metrics (PCC: 0.798 vs. 0.715; SSIM: 0.756 vs. 0.718; PSNR: 20.08 vs. 18.51 dB), suggesting that preprocessing quality may be more limiting than model capacity.

C2weakest assumption

That histogram-based stain normalization and channel-wise intensity calibration are sufficient to mitigate domain shift for unregistered WSIs without introducing artifacts that affect pathological interpretation, particularly for malignant structures.

C3one line summary

cGAN-based virtual H&E destaining and restaining generalizes to unregistered external pathology WSIs via preprocessing, with destaining PCC of 0.854 and restaining outperforming direct staining.

References

18 extracted · 18 resolved · 0 Pith anchors

[1] U.s. cancer statistics prostate cancer stat bite, 2025

[2] The 20-core prostate biopsy protocol–a new gold standard? 2008

[3] Tissue processing and hematoxylin and eosin staining, 2014

[4] Automated histology analysis: Opportunities for signal processing, 2015

[5] Identification of a cell of origin for human prostate cancer, 2010

Receipt and verification

First computed	2026-05-17T23:39:10.564240Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4cbd3931cb3f8e890d54aa805ca88d6fe7a7b10d3d05160be82bd3edd2e71e48

Aliases

arxiv: 2605.14251 · arxiv_version: 2605.14251v1 · doi: 10.48550/arxiv.2605.14251 · pith_short_12: JS6TSMOLH6HI · pith_short_16: JS6TSMOLH6HISDKU · pith_short_8: JS6TSMOL

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JS6TSMOLH6HISDKUVKAFZKENN7 \
  | 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: 4cbd3931cb3f8e890d54aa805ca88d6fe7a7b10d3d05160be82bd3edd2e71e48

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c2447c0d590f1a879af67baa813ccbadf6f583e63a4d29379f134e36124ba25c",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T01:37:58Z",
    "title_canon_sha256": "c2b8f2d2ddda082c63f9fdaa35a937fd3382bc8a2fd35a7596d59ad8e2ef6b21"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14251",
    "kind": "arxiv",
    "version": 1
  }
}