Verified claim · AI-ML · 100% confidence
U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 4f19829aa2036770
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Structured fields
- Subject
- U-Net
- Predicate
introduced_in- Object
- Ronneberger, Fischer, Brox 2015 — biomedical image segmentation
- Confidence
- 100%
- Tags
- u-net · ronneberger · image-segmentation · diffusion-backbone · foundational · 2015 · introduced_in
Sources (2)
[1] preprint · arXiv (Ronneberger, Fischer, Brox / University of Freiburg) · 2015-05-18
U-Net: Convolutional Networks for Biomedical Image Segmentation“We present a network and training strategy that relies on the strong use of data augmentation to use the available annotated samples more efficiently. The architecture consists of a contracting path to capture context and a symmetric expanding path that enables precise localization.”
[2] official blog · University of Freiburg · 2015-05-18
U-Net — official project page
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U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation. — SourceScore Claim 4f19829aa2036770 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/4f19829aa2036770.jsonEmbed this claim
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Frequently asked questions
Is the claim "U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation."?
Evidence comes from 2 primary sources: arXiv (Ronneberger, Fischer, Brox / University of Freiburg), University of Freiburg. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/4f19829aa2036770.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
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// "U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/4f19829aa2036770.json")
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print(envelope["claim"]["statement"])
# "U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_u_net_fact() -> dict:
"""Fetch the verified SourceScore claim for U-Net."""
r = httpx.get("https://sourcescore.org/api/v1/claims/4f19829aa2036770.json")
return r.json()