YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition ; volume:24 ; number:1 ; day:11 ; month:7 ; year:2024 ; pages:1-14 ; date:12.2024
BMC medical imaging ; 24, Heft 1 (11.7.2024), 1-14, 12.2024
- Urheber
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Beser, Busra
Reis, Tugba
Berber, Merve Nur
Topaloglu, Edanur
Gungor, Esra
Kılıc, Münevver Coruh
Duman, Sacide
Çelik, Özer
Kuran, Alican
Bayrakdar, Ibrahim Sevki
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12880-024-01338-w
- URN
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urn:nbn:de:101:1-2411132119427.799116236373
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:20 MESZ
Datenpartner
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Beteiligte
- Beser, Busra
- Reis, Tugba
- Berber, Merve Nur
- Topaloglu, Edanur
- Gungor, Esra
- Kılıc, Münevver Coruh
- Duman, Sacide
- Çelik, Özer
- Kuran, Alican
- Bayrakdar, Ibrahim Sevki
- SpringerLink (Online service)
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