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Smart-CBCT-analysis-using-Deep-Learning-

Smart CBCT analysis using Deep Learning:

Teeth Segmentation

This repository provides an implementation of teeth segmentation using Mask R-CNN. Mask R-CNN is a popular deep learning algorithm that combines object detection and instance segmentation. It is widely used for various computer vision tasks, including teeth segmentation.

Features

  • Accurate teeth segmentation using Mask R-CNN.
  • Easy integration into existing projects.
  • Pre-trained weights for fast inference.
  • Data augmentation techniques for improved performance.

Sample input and output image is shown

test-sample

tooth_segmentation

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Smart CBCT analysis using Deep Learning:

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