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pith:MPL5JT5L

pith:2025:MPL5JT5L6K6ZVKN5C52TMYHPDK
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S4M: 4-points to Segment Anything

Adrien Meyer, Didier Mutter, Giuseppe Massimiani, Lorenzo Arboit, Nicolas Padoy, Shih-Min Yin

S4M augments SAM to treat four points as relational shape cues rather than isolated clicks for more accurate medical segmentation.

arxiv:2503.05534 v3 · 2025-03-07 · cs.CV

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\pithnumber{MPL5JT5L6K6ZVKN5C52TMYHPDK}

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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

Across eight datasets in ultrasound and surgical endoscopy, S4M improves segmentation by +3.42 mIoU over a strong SAM baseline at equal prompt budget. An annotation study with three clinicians further shows that major/minor prompts enable faster annotation.

C2weakest assumption

That major/minor axis endpoints can be identified consistently and with low inter-annotator variability by clinicians across diverse medical images without introducing new sources of error or requiring extra training.

C3one line summary

S4M augments SAM with role-specific embeddings for 4-point prompts and a canvas pretext task, yielding +3.42 mIoU gains on eight medical datasets and faster clinician annotation.

Receipt and verification
First computed 2026-05-25T02:01:02.696037Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

63d7d4cfabf2bd9aa9bd17753660ef1aa66a530b492bbb679398f013e77bb138

Aliases

arxiv: 2503.05534 · arxiv_version: 2503.05534v3 · doi: 10.48550/arxiv.2503.05534 · pith_short_12: MPL5JT5L6K6Z · pith_short_16: MPL5JT5L6K6ZVKN5 · pith_short_8: MPL5JT5L
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MPL5JT5L6K6ZVKN5C52TMYHPDK \
  | 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: 63d7d4cfabf2bd9aa9bd17753660ef1aa66a530b492bbb679398f013e77bb138
Canonical record JSON
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    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-03-07T16:02:11Z",
    "title_canon_sha256": "89d24095c81fdfaf71365defdc5726b651b2f4d18d0ff6018bcff11d8d0b267b"
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