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Automated Identification of Cephalometric Landmarks: Part 2- Might It Be Better Than human?
OBJECTIVES: To compare detection patterns of 80 cephalometric landmarks identified by an automated identification system (AI) based on a recently proposed deep-learning method, the You-Only-Look-Once version 3 (YOLOv3), with those identified by human examiners. MATERIALS AND METHODS: The YOLOv3 algo...
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| Published in: | Angle Orthod |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Edward H. Angle Society of Orthodontists
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8087057/ https://ncbi.nlm.nih.gov/pubmed/31335162 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2319/022019-129.1 |
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