Fig. 7 | Scientific Reports

Fig. 7

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

Fig. 7

User-guided correction of the deep learning segmentation output in Avizo. (a) Initial defect segmentation generated by the trained model. (b) Addition of false-negative areas (red) using a brush tool. (c) Subtraction of false-positive areas (indicated by arrow) using an eraser tool. (d) The final, refined segmentation of the defect after manual corrections.

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