Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study
Objectives: Approximal caries diagnosis in children is difficult, and artificial intelligence-based research in pediatric dentistry is scarce. To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identification of approximal caries in pediatric patient...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Medical Journals Sweden
2025-01-01
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| Series: | Acta Odontologica Scandinavica |
| Subjects: | |
| Online Access: | https://medicaljournalssweden.se/actaodontologica/article/view/42599 |
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