YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Beser, Busra
Reis, Tugba
Berber, Merve Nur
Topaloglu, Edanur
Gungor, Esra
Kılıc, Münevver Coruh
Duman, Sacide
Çelik, Özer
Kuran, Alican
Bayrakdar, Ibrahim Sevki

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12880-024-01338-w

URN: urn:nbn:de:101:1-2411132119427.799116236373

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:20 AM CEST

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Associated

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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YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

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Other Objects (12)

Correction: YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

Predicting fractures using trabecular patterns on panoramic radiographs

Evaluation of the styloid process on digital panoramic radiographs

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Panorametry: suggestion of a method for mandibular measurements on panoramic radiographs

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Correction: YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

Predicting fractures using trabecular patterns on panoramic radiographs

Evaluation of the styloid process on digital panoramic radiographs

Human figure detection in Han portrait stone images via enhanced YOLO-v5

Combining public datasets for automated tooth assessment in panoramic radiographs

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Combining public datasets for automated tooth assessment in panoramic radiographs

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