The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
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Updated
Aug 8, 2022
The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
Track your Instance Segmentation model predictions with DeepSortMask. This repository explains how to use deep_sort to track masked objects from MaskRCNN.
Use of Deep Learning to perform Instance Segmentation
Mask RCNN Implementation on Custom Data(Labelme)
mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.
Objects detection using Mask-RCNN Architecture
Plot delineation using Unet, Mask-RCCN, and Smoothly Blending Patches Algorithm
Basics and Hand-On
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