Fig. 8
From: A perspective on the diagnosis of cracked tooth: imaging modalities evolve to AI-based analysis
Copyright © Elsevier publishing (2019)
Typical results of object detection (YOLO) [120] and semantic segmentation (U-Net) [136] under different situations. The anchor boxes in the figure (a–d) represent the area of crack. a Testing results of normal crack in the smooth pavement. b Testing results of normal crack in the rough ground. c Tiny crack in the smooth pavement. d Normal crack in the stained ground. For semantic segmentation methods, e, g represent the original images under shadow and rough pavement, respectively. f, h Results of semantic segmentation of the crack.