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What is Automatic Mandible Segmentation Using CNN about?

This study evaluates the accuracy of a fully automatic segmentation method for the mandible using convolutional neural networks (CNNs) on CBCT scans. The results indicate that the CNN-based method performs comparably to manual segmentation by an experienced operator, with high correlation and minimal error. The automated process offers significant clinical advantages due to its speed and efficiency.

Author

Viet Do

Language

EN