Age assessment using CT of knee joint and neural network technologies-Reference-Cited by-同舟云学术

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Age assessment using CT of knee joint and neural network technologies

Published:2023 Issue:4 Volume:66 Page:34
ISSN:0039-4521
Container-title:Sudebno-meditsinskaya ekspertiza
language:en
Short-container-title:Sud.-med. ekspert.

Author:

Zolotenkov D.D.^ORCID,Ogarev E.V.^ORCID,Valetov D.K.^ORCID,Nefedova S.M.^ORCID,Zolotenkova G.V.^ORCID,Pigolkin Yu.I.^ORCID

Publisher

Media Sphere Publishing Group

Subject

General Medicine

Reference19 articles.

1. Criteria for age estimation in living individuals

2. Kovalev AV, Kolkutin VV. Opredelenie biologicheskogo i prognozirovanie kalendarnogo vozrasta pri ekspertize zhivyh lic. Aktual’nye voprosy sudebnoy meditsiny i ekspertnoy praktiki. 2007;12(2):12-16. (In Russ.)

3. Pigolkin YuI, Fedulova MV, Zolotenkova GV. Determination of the human age based on the characteristics of the bone tissue. Sudebno-meditsinskaya ekspertisa. 2012;55(1):49-51. (In Russ.)

4. Histometric Symptoms of Age-Sensitive Changes of Bone Tissue

5. Enhanced possibilities to make statements on the ossification status of the medial clavicular epiphysis using an amplified staging scheme in evaluating thin-slice CT scans

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1. Forensic age diagnosis by assessment of sternum ossification processes;Forensic Medical Expertise;2024

2. Validation of method for estimation age of majority by the third molar maturity index on the sample of Ufa population;Forensic Medical Expertise;2024

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