Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00001479",
"name": "Segment Anything in Medical Images",
"alternateName": [],
"additionalType": "Foundation Model",
"description": "Segment Anything in Medical Images is a medical image segmentation model associated with SAM-Med authors.",
"creator": "SAM-Med authors",
"url": "entity.php?id=ENT-00001479",
"sameAs": "https://github.com/bowang-lab/MedSAM",
"lxkeysWorld": {
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"organization": "SAM-Med authors",
"originContext": "AI model, architecture and research record",
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"currentStatus": "Active",
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"documentation": 25,
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"structure": 25,
"relationships": 11,
"level": "Level IV — Connected"
},
"lxCalendarium": {
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"created_utc": "2026-06-16T23:59:14+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"updated_utc": "2026-06-16T23:59:14+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"reviewed_utc": "2026-06-16T23:59:14+00:00",
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],
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{
"date": "2023",
"title": "Segment Anything in Medical Images public release or documentation",
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}