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Streamlit app for 3D semantic segmentation of intra-oral teeth scans with MeshSegNet

Home Page: https://huggingface.co/spaces/huathedev/3D_Teeth_Scan_Semantic_Segmentation

Python 97.69% CSS 0.54% Dockerfile 1.77%
3d cloud computer deep deploy deployment docker huggingface learning machine mesh point pyvista segmentation semantic streamlit vision voxel meshsegnet stpyvista

teethsegfront's Introduction

3D Teeth Scan Segmentation - frontend

Link to deployed app on HuggingFace Spaces: https://huggingface.co/spaces/huathedev/3D_Teeth_Scan_Semantic_Segmentation

This repository contains the code for the Streamlit app frontend for the 3D Teeth Scan Segmentation project carried out in the 10 ECTS 02830 Advanced Project in Digital Media Technology (E23) course at the Technical University of Denmark (DTU).

Link to repo containing model architecture: TeethSegModelling

ML backend is based on MeshSegNet architecture by Lian et al.

The model has been trained on intra-oral scans of both upper and lower jaws annotated, validated by professionals in the 3DTeethSeg'22 Challenge by Ben-Hamadou et al.

Author: Huayuan Song illustration *disclaimer: Not intended for clinical use -only POC.

teethsegfront's People

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