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 moen finney the performance of a tooth crack segmentation model (namely, FDB-DeepLabv3+) on optical microscopic images.Method: The FDB-DeepLabv3+ model proposed here improves feature learning by replacing the ba