Deutsche Nationalbibliothek
metadata only
Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images / Ioannis Kafetzis, Philipp Sodmann, Robert Hüneburg, Jacob Nattermann, Nora Martens, Daniel R. Englmann, Wolfram G. Zoller, Alexander Meining, Alexander Hann
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Replacement Duodenoscopes - Endoscopy — Nottingham University Hospitals NHS Trust — OLYMPUS KEYMED GROUP LIMITED#1180898
- Assessing Depth of Small Bowel Insertion at Push Enteroscopy by Using Capsule Endoscopy#1163232
- Replacement colonoscopes - Endoscopy — Nottingham University Hospitals NHS Trust — OLYMPUS KEYMED GROUP LIMITED#1180882
- Hard Vision, Easy Vision: What GPT-6 Astra Reveals Across Computer Vision#1130367
- Replacement Paediatric Colonoscopes - Endoscopy — Nottingham University Hospitals NHS Trust — OLYMPUS KEYMED GROUP LIMITED#1180876
Record · ID 1015052
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive