Usability of quantitative atlas measurements from computed tomography images for sex estimation: A machine learning approach.
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| Title: | Usability of quantitative atlas measurements from computed tomography images for sex estimation: A machine learning approach. |
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| Authors: | Sahin M; Department of Anatomy, Faculty of Medicine, Karabuk University, Karabük, Turkey., Turan MK; Department of Medical Biology, Faculty of Medicine, Karabuk University, Karabük, Turkey. Electronic address: kamilturan@karabuk.edu.tr., Oner Z; Department of Anatomy, Faculty of Medicine, İzmir Bakirçay University, İzmir, Turkey., Oner S; Department of Radiology, Faculty of Medicine, İzmir Bakirçay University, İzmir, Turkey. |
| Source: | Morphologie : bulletin de l'Association des anatomistes [Morphologie] 2026 Mar; Vol. 110 (368), pp. 101101. Date of Electronic Publication: 2026 Jan 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Masson Country of Publication: France NLM ID: 9814314 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1286-0115 (Print) Linking ISSN: 12860115 NLM ISO Abbreviation: Morphologie Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1286-0115 |
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| DOI: | 10.1016/j.morpho.2025.101101 |
