Dbt
metadata only
CC BY 4.0
Quantitative und qualitative Analyse des Einflusses Deep-Learning-basierter Bildrekonstruktionen auf die Tumordiagnostik in der Computertomografie
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
- Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence#886879
- Artificial Intelligence-based Techniques to Characterize KIdney Microstructure on Histological ImagEs#836277
- Dermatologist-level classification of skin cancer with deep neural networks#6461
- Enhanced Outcome Prediction in Cutaneous Squamous Cell Carcinoma Using Deep-learning and Computational Histopathology#993033
- Study on the Staging and Prognosis Model of Bladder Cancer#805315
Record · ID 405316
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