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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Bibliographic Details

Published in:	Heliyon
Main Authors:	Zewen Xie, Qilin Lu, Juncheng Guo, Weiren Lin, Guanghua Ge, Yadong Tang, Damiano Pasini, Wenlong Wang
Format:	Article
Language:	English
Published:	Elsevier 2024-02-01
Subjects:	Cracked teeth Oral health Semantic segmentation DeepLabv3+
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024019236