ImplantDT Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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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.
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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.
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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.
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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.
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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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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{ 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 },
}