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Facial recognition by cloud-based APIs following surgically assisted rapid maxillary expansion Gesichtserkennung über Cloud-basierte APIs nach chirurgisch unterstützter schneller Gaumennahterweiterung

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dc.creator BAYKUL, Timuçin
dc.creator FINDIK, Yavuz
dc.creator Buyukcavus, Muhammed Hilmi
dc.creator UÇAR, MUSTAFA HİKMET BİLGEHAN
dc.creator SOLAK, SERDAR
dc.creator Aydogan Akgun, Filiz
dc.date 2023-01-01T00:00:00Z
dc.date.accessioned 2025-02-25T10:40:20Z
dc.date.available 2025-02-25T10:40:20Z
dc.identifier e37b1447-2496-4234-8617-6897d994bbed
dc.identifier 10.1007/s00056-023-00494-y
dc.identifier https://avesis.sdu.edu.tr/publication/details/e37b1447-2496-4234-8617-6897d994bbed/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/101705
dc.description Introduction: This study aimed to investigate whether the facial soft tissue changes of individuals who had undergone surgically assisted rapid maxillary expansion (SARME) would be detected by three different well-known facial biometric recognition applications. Methods: To calculate similarity scores, the pre- and postsurgical photographs of 22 patients who had undergone SARME treatment were examined using three prominent cloud computing-based facial recognition application programming interfaces (APIs): AWS Rekognition (Amazon Web Services, Seattle, WA, USA), Microsoft Azure Cognitive (Microsoft, Redmond, WA, USA), and Face++ (Megvii, Beijing, China). The pre- and post-SARME photographs of the patients (relaxed, smiling, profile, and semiprofile) were used to calculate similarity scores using the APIs. Friedman’s two-way analysis of variance and the Wilcoxon signed-rank test were used to compare the similarity scores obtained from the photographs of the different aspects of the face before and after surgery using the different programs. The relationship between measurements on lateral and posteroanterior cephalograms and the similarity scores was evaluated using the Spearman rank correlation. Results: The similarity scores were found to be lower with the Face++ program. When looking at the photo types, it was observed that the similarity scores were higher in the smiling photos. A statistically significant difference in the similarity scores (P < 0.05) was found between the relaxed and smiling photographs using the different programs. The correlation between the cephalometric and posteroanterior measurements and the similarity scores was not significant (P > 0.05). Conclusion: SARME treatment caused a significant change in the similarity scores calculated with the help of three different facial recognition programs. The highest similarity scores were found in the smiling photographs, whereas the lowest scores were found in the profile photographs.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Facial recognition by cloud-based APIs following surgically assisted rapid maxillary expansion Gesichtserkennung über Cloud-basierte APIs nach chirurgisch unterstützter schneller Gaumennahterweiterung
dc.type info:eu-repo/semantics/article


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