The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
-
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.
Objects detection using Mask-RCNN Architecture
Plot delineation using Unet, Mask-RCCN, and Smoothly Blending Patches Algorithm
Basics and Hand-On
Add a description, image, and links to the mask-rcnn-models topic page so that developers can more easily learn about it.
To associate your repository with the mask-rcnn-models topic, visit your repo's landing page and select "manage topics."