bioRxiv / medRxiv
open access
Standardised evaluation and monitoring of site-specific AI performance with physical CT phantoms
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
- Triage UltraSound in Tb Endemic Regions#1152986
- AnatomIQ: An Open-Source Toolkit for Automated Background Detection in Medical Imaging#1156957
- Accuracy of seven three-dimensional facial scanning systems compared with cone-beam computed tomography: a pilot study.#457462
- Phantom benchmarking for quality assurance of synthetic computed tomography in cranial magnetic resonance-only radiotherapy / Bernd-Niklas Axer, Johann Brand, Lucas Pieper, Florian Putz, Johanna Lott, Christoph Dickmann, Rainer Fietkau, Stefanie Corradini, Christoph Bert, Juliane Szkitsak#675534
- An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound#862282
Record · ID 419971
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