pith:6JILF7CL
MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration
MedP-CLIP adds a feature-level region prompt mechanism to CLIP for medical images.
arxiv:2604.11197 v2 · 2026-04-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6JILF7CL6AAK5ME7WKRDYM4XZE}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
MedP-CLIP significantly outperforms baseline methods in various medical tasks, including zero-shot recognition, interactive segmentation, and empowering multimodal large language models. This model provides a scalable, plug-and-play visual backbone for medical AI, combining holistic image understanding with precise regional analysis.
The feature-level region prompt integration mechanism enables it to flexibly respond to various prompt forms (e.g., points, bounding boxes, masks) while maintaining global contextual awareness when focusing on local regions.
MedP-CLIP is a medical CLIP variant with feature-level region prompt integration, pre-trained on 6.4 million images and 97.3 million region annotations, that outperforms baselines in zero-shot recognition and interactive segmentation.
Receipt and verification
| First computed | 2026-06-24T01:14:27.719182Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f250b2fc4bf000aeb09fb2a23c3397c92a3e23f0988a30dd64b1ace06271bccf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6JILF7CL6AAK5ME7WKRDYM4XZE \
| 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: f250b2fc4bf000aeb09fb2a23c3397c92a3e23f0988a30dd64b1ace06271bccf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cee334b89f2404f5d583791ee94868b81342b856d1b8a00ac8cfa1f7185add9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-04-13T08:53:36Z",
"title_canon_sha256": "c9d5ec85785d74f94ed33ab8ff14c1ed72ed7dbc7e1704fa2de0710b347d8cfa"
},
"schema_version": "1.0",
"source": {
"id": "2604.11197",
"kind": "arxiv",
"version": 2
}
}