Instance Segmentation

ImplantDT Computer Vision Project

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Here are a few use cases for this project:

  1. Medical Diagnostics: Doctors and clinicians can use ImplantDT to analyze radiographic images like X-Rays, CT scans, and MRIs, to identify and classify different types of implants. This can help diagnose issues with already placed implants or indicate if a replacement is necessary.

  2. Implant Manufacturing: Companies producing medical implants can use this model to validate the structure and dimensions of their products, ensuring they match specific class standards.

  3. Orthopedic Research: Researchers can use this model to assess the effectiveness and reliability of different implant classes in providing functional support and stability to the affected area.

  4. Education & Training: Educational Institutions can use ImplantDT in teaching modules, helping students in medical or engineering courses to identify, understand and differentiate between various implant classes through visual representation.

  5. Post-surgery Follow-ups: The model can be used by healthcare providers in tracking the implant's position and condition in the patient's body over time, enabling efficient monitoring for potential complications post-surgery.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ implantdt_dataset,
    title = { ImplantDT Dataset },
    type = { Open Source Dataset },
    author = { class },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { feb },
    note = { visited on 2023-12-03 },

Find utilities and guides to help you start using the ImplantDT project in your project.



Last Updated

10 months ago

Project Type

Instance Segmentation



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