NCBI PubMed Central
open access
A two-stage deep learning approach for forensic age and sex determination from hand-wrist radiographs: an anatomical pose estimation and multi-task model.
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
- Dataset for: Female neighborhood and sexual swelling status predict within-community variation in fecal stable isotopes in chimpanzees#478234
- Crime Hotspot Prediction Using Deep Graph Convolutional Networks#179183
- Time spent, participation time and participation rate in the main activity by sex and household composition (2000 and 2010)#817222
- Time spent, participation time and participation rate in the main activity by sex and household composition (2000 and 2010)#817225
- Child and youth population on 1 January by sex and age#817682
Record · ID 295412
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