SA
ENT-00001479 · Modèle IA

Segment Anything in Medical Images

Segment Anything in Medical Images is a AI model associated with SAM-Med authors, classified in LXKeys.world as Scientific / Biomedical Model.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

Segment Anything in Medical Images is a medical image segmentation model associated with SAM-Med authors. The entity is included because it represents a distinct public model, architecture, benchmark, dataset or AI research system with an identifiable source base and documented role.

Chronologie

  1. 2023Initial model publication or release

    Segment Anything in Medical Images entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Documented AI capabilityResearch or product source anchorModel or system lineageRelationship mapping

Limites connues

Capabilities depend on version, training data, deployment configuration and evaluation setting.The record documents public identity and source context rather than private implementation details.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Segment Anything in Medical Images. Entity type: AI Model; classification: Scientific / Biomedical Model; creator/organization context: SAM-Med authors. Canonical source anchor: https://github.com/bowang-lab/MedSAM. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

Foundation ModelDocumented EntityContemporaryBatch 03 Candidate
Graphe relationnel

Segment Anything in Medical Images

Ouvrir dans le graphe complet
Segment Anything in Medical Images
Créé ou maintenu parSortante
SAM-Med authors

Segment Anything in Medical Images is associated with SAM-Med authors.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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    "@type": "Thing",
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    "name": "Segment Anything in Medical Images",
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    "creator": "SAM-Med authors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001479&lang=fr",
    "sameAs": "https://github.com/bowang-lab/MedSAM",
    "image": "",
    "lxkeysWorld": {
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        "classification": "Scientific / Biomedical Model",
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        "originContext": "AI model, architecture and research record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
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            "updated_utc": "2026-06-16T23:59:14+00:00",
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                "description": "Segment Anything in Medical Images entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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        "canonical": [],
        "imageMeta": []
    }
}
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