Approach for the Detection of Early Carious Lesions Based on Intraoral Photographs Using YOLOv7 and Faster R-CNN

  1. Huertas, W.
  2. Artica, K.
  3. Luis Castillo-Sequera, J.
  4. Wong, L.
Actas:
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

ISSN: 2414-6390

ISBN: 9786289520781

Año de publicación: 2024

Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology: Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024

Tipo: Aportación congreso

DOI: 10.18687/LACCEI2024.1.1.1207 GOOGLE SCHOLAR
Fuente de los datos: Scopus