Human identification performed with skull’s sphenoid sinus based on deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pathology and Forensic Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00414-021-02761-2.pdf
Reference31 articles.
1. Disaster Victim Identification (DVI). International Criminal Police Organization.https://www.interpol.int/en/How-we-work/Forensics/Disaster-Victim-Identification-DVI. Accessed 26 Sept 2021.
2. Culbert WL, LAW, F. M. (1927) Identification by comparison of roentgenograms: of nasal accessory sinuses and mastoid processes. J Am Med Assoc 88(21):1634–1636
3. Yoshino M et al (1987) Classification system of frontal sinus patterns by radiography. Its application to identification of unknown skeletal remains. Forensic Sci Int 34(4):289–99
4. Tatlisumak E et al (2007) Identification of unknown bodies by using CT images of frontal sinus. Forensic Sci Int 166(1):42–48
5. Gibelli, Daniele, et al. "Relationship between sphenoid sinus volume and accessory septations: a 3D assessment of risky anatomical variants for endoscopic surgery." The Anatomical Record 303.5 (2020): 1300–1304.
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