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pith:IJ5HRYAO

pith:2026:IJ5HRYAOX6CL546W6YRTHSKMSP
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Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning

Calum Redpath, David Birnie, Elena Pena, Pablo Nery, Rebecca Thornhill, Robert deKemp, Sreeraman Rajan, Yusri Al-Sanaani

Meta-learning with auxiliary cavity tasks improves few-shot accuracy for thin left atrial wall segmentation in 3D MRI.

arxiv:2603.24985 v3 · 2026-03-26 · cs.CV

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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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Claims

C1strongest claim

MAML framework meta-trained on wall task together with auxiliary left and right atrial cavity tasks and boundary-aware composite loss improves segmentation over supervised fine-tuning, achieving DSC 0.64 vs 0.52 and HD95 5.70 vs 7.60 mm at 5-shot on hold-out test set.

C2weakest assumption

That the auxiliary cavity segmentation tasks share enough structure with the thin-wall task for effective meta-transfer, and that the chosen synthetic shift and local cohort adequately represent real clinical domain variations.

C3one line summary

MAML with auxiliary cavity tasks and boundary-aware loss achieves better few-shot 3D left atrial wall segmentation than standard fine-tuning, reaching DSC 0.64 at 5 shots versus 0.52.

Formal links

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Receipt and verification
First computed 2026-05-25T02:01:18.244619Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

427a78e00ebf84bef3d6f62333c94c93cf3fe08815672091c932718a5ed794cf

Aliases

arxiv: 2603.24985 · arxiv_version: 2603.24985v3 · doi: 10.48550/arxiv.2603.24985 · pith_short_12: IJ5HRYAOX6CL · pith_short_16: IJ5HRYAOX6CL546W · pith_short_8: IJ5HRYAO
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IJ5HRYAOX6CL546W6YRTHSKMSP \
  | 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: 427a78e00ebf84bef3d6f62333c94c93cf3fe08815672091c932718a5ed794cf
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-26T03:25:40Z",
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