ImplantDT Computer Vision Project

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Description

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.

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LICENSE
CC BY 4.0

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{ https://universe.roboflow.com/class-siwqm/implantdt } },
                            url = { https://universe.roboflow.com/class-siwqm/implantdt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2025-01-05 },
                            }
                        
                    

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