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.
Use of Deep Learning to perform Instance Segmentation
Track your Instance Segmentation model predictions with DeepSortMask. This repository explains how to use deep_sort to track masked objects from MaskRCNN.
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.
Plot delineation using Unet, Mask-RCCN, and Smoothly Blending Patches Algorithm
Objects detection using Mask-RCNN Architecture
Basics and Hand-On
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