Pith Number

pith:6CQ7VT4J

pith:2026:6CQ7VT4JEKXZVHEQTKGZSD5JIT

not attested not anchored not stored refs resolved

Degradation-Aware Blur-Segmentation of Brain Tumor

Gefei Liang, Xiaosong Li, Yang Liu, Yuchun Wang

A joint deblurring and segmentation network maintains high tumor Dice scores in motion-blurred 3D MRI scans.

arxiv:2605.15671 v1 · 2026-05-15 · eess.IV · cs.CV

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\pithnumber{6CQ7VT4JEKXZVHEQTKGZSD5JIT}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Systematic comparisons and ablation experiments on the BraTS2020 dataset under both clear and degenerative conditions consistently demonstrate that DABSeg surpasses state-of-the-art methods in tumor Dice score and boundary precision.

C2weakest assumption

The joint optimization of deblurring and segmentation via the proposed feature-domain stem and blur-aware modules will improve rather than degrade feature quality for small lesions and borders without introducing new artifacts or requiring perfectly matched clear-reference images during training.

C3one line summary

DABSeg unifies motion deblurring and multimodal 3D brain tumor segmentation via a feature-domain deblurring stem, blur-aware cross-attention, and a joint weighted Dice plus reconstruction loss, showing higher Dice scores than prior methods on BraTS2020 under both clear and degraded conditions.

References

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[1] In: Inter- national Conference on Medical Image Computing and Computer-Assisted Inter- vention 2024

[2] In: European conference on computer vision 2022

[3] Scientific Reports (2025) 2025

[4] American Journal of Neuro- radiology (2025) 2025

[5] Biomedical Signal Processing and Control104, 107505 (2025) 2025

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:01:11.408287Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f0a1facf8922af9a9c909a8d990fa944d2c2a63136fce8e732260ab48c0fbbea

Aliases

arxiv: 2605.15671 · arxiv_version: 2605.15671v1 · doi: 10.48550/arxiv.2605.15671 · pith_short_12: 6CQ7VT4JEKXZ · pith_short_16: 6CQ7VT4JEKXZVHEQ · pith_short_8: 6CQ7VT4J

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CQ7VT4JEKXZVHEQTKGZSD5JIT \
  | 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: f0a1facf8922af9a9c909a8d990fa944d2c2a63136fce8e732260ab48c0fbbea

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fee8b95c3149b51b43fc25af8aaabf5778c47b8202bcc8124d0733895d078e12",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2026-05-15T06:47:37Z",
    "title_canon_sha256": "1dd7da8cc7ab491aa088ed0dad17c8eff42c2401cabcf79192e42e3e66f28c5c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15671",
    "kind": "arxiv",
    "version": 1
  }
}