NCBI PubMed Central
open access
Deep learning can be used for accurate classification of hand osteoarthritis using plain radiographs.
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
- Fine-Tuning Deep Learning Model for Quantitative Knee Joint Mapping With MR Fingerprinting and Its Comparison to Dictionary Matching Method: Fine-Tuning Deep Learning Model for Quantitative MRF.#247714
- Automated Detection of Dental Caries and Bone Loss on Periapical and Bitewing Radiographs using a YOLO Based Deep Learning Model#191542
- Automated Arthritis Detection Using Artificial Intelligence on Smartphone Photographs#1074124
- Artificial Intelligence in Trapeziometacarpal Joint Osteoarthritis: Improving Assessment and Clinical Decision-Making#1174041
- Application Value of Deep Learning in Diagnosis of Cervical Spondylosis#887720
Record · ID 1404132
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