Semantic segmentation for tooth cracks using improved DeepLabv3+ model
Objective: Accurate and prompt detection of cracked teeth plays a critical role for human oral health. The aim of this paper is to evaluate the performance of a tooth crack segmentation model (namely, FDB-DeepLabv3+) on optical microscopic images. Method: The FDB-DeepLabv3+ model proposed here impro...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-02-01
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| Seri Bilgileri: | Heliyon |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2405844024019236 |
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