NCBI PubMed Central
open access
Cone-beam computed tomography-based radiomic analysis of architectural phenotypes in jaw cysts and tumors using interpretable artificial intelligence models.
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
- Non-destructive Automated Classification of Human and Large Mammal Long Bone Fragments: A Deep Learning Approach Using Micro-CT Histomorphology and Grad-Cam Interpretation#429886
- Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning#1164249
- Anatomy Contextualized Adaption of CT Foundation Models#411070
- Correlation analysis between radiation exposure and the image quality of cone-beam computed tomography in the dental clinical environment#654927
- Prospective Pilot Study Evaluating Dental Side Effects of Radiotherapy on Subjects Treated for Head and Neck Cancer#1059965
Record · ID 630859
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