A two-stage deep learning approach for forensic age and sex determination from hand-wrist radiographs: an anatomical pose estimation and multi-task model.
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| Title: | A two-stage deep learning approach for forensic age and sex determination from hand-wrist radiographs: an anatomical pose estimation and multi-task model. |
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| Authors: | Çatak C; Department of Forensic Anthropology, Institute of Forensic Sciences, Ankara University, Ankara, Türkiye.; Department of Forensic Anthropology, Graduate School of Health Sciences, Ankara University, Ankara, Türkiye., Ocak M; Department of Basic Medicine Science- Anatomy, Faculty of Dentistry, Ankara University, Ankara, Türkiye. mocak@ankara.edu.tr., Çolak D; Department of Forensic Anthropology, Institute of Forensic Sciences, Ankara University, Ankara, Türkiye. |
| Source: | International journal of legal medicine [Int J Legal Med] 2026 Jul; Vol. 140 (4), pp. 2207-2224. Date of Electronic Publication: 2026 Mar 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9101456 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1437-1596 (Electronic) Linking ISSN: 09379827 NLM ISO Abbreviation: Int J Legal Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1437-1596 |
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| DOI: | 10.1007/s00414-026-03729-w |
