Proposal: 3D Teeth Land Challenge a landmark identification model for dental models

[juanprietob]

Project Description

Objective:

Develop and validate an advanced AI model to accurately identify anatomical landmarks in dental models, enhancing precision in dental treatments, diagnostics, and educational applications.

Background:

Accurate landmark identification is crucial in various dental procedures. Manual identification is time-consuming and prone to errors. An AI-driven model will automate this process, offering a reliable, scalable solution.

Goals:

1. Develop an Accurate Model: Use advanced machine learning algorithms for high-precision landmark identification.
2. Training and Validation: Train using the 3DTeethLand-MICCAI2024 dataset and validate with diverse samples.
3. Integration: Seamlessly integrate with other dental software.
4. User Interface: Create an intuitive interface in 3D Slicer for this new extension

Methodology:

Data Collection: Use the 3DTeethLand-MICCAI2024 dataset, containing annotated 3D dental models. Model Development: Employ deep learning techniques, such as convolutional neural networks (CNNs), to develop the model.

Validation and Testing:

Perform extensive testing with validation datasets to ensure robustness and accuracy. Software Integration: Collaborate with dental software developers for smooth integration. User Training: Provide training and support for effective model utilization.

[sjh26]

@juanprietob, You should probably just go ahead and make this as a Project issue

[juanprietob]

@juanprietob, You should probably just go ahead and make this as a Project issue

I have created the project issue