Fig. 3 | Scientific Reports

Fig. 3

From: Deep learning-assisted CBCT segmentation provides reliable volumetric assessment of mandibular defects compared with micro-CT for 3D printing and surgical planning

Fig. 3

Demonstration of the image pre-processing workflow in ImageJ on CBCT images acquired with a 0.2 mm voxel size. (a, b) Original images of posterior and anterior defects. (c, d) Images after application of the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Edge Enhancement algorithms. (e, f) Final images after application of the Non-Local Means Denoising filter to reduce noise while preserving edges.

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