bb(frac) Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Medical Diagnostics: The "FractureBones" model can be used in healthcare centers and hospitals for diagnostic purposes, to automatically detect fractures from X-ray images, improving efficiency and accuracy in diagnosis.
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Remote Healthcare: In remote areas where professional medical help is not readily available, the model can assist healthcare workers, nurses, and general practitioners to identify fractures, thus enabling timely treatment.
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Training Medical Students: The model can be used in medical schools as a teaching aid for students learning about orthopedics, allowing them to understand various fracture classes more deeply.
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Sports Medicine: Sports professionals can use it to detect any fractures in an athlete's bones. This could expedite treatment and potentially decrease recovery time.
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Postoperative Assessment: Surgeons can use the "FractureBones" model as part of postoperative analysis, to assess whether or not a fracture has completely healed after treatment or 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{
bb-frac_dataset,
title = { bb(frac) Dataset },
type = { Open Source Dataset },
author = { bonefrac },
howpublished = { \url{ https://universe.roboflow.com/bonefrac/bb-frac } },
url = { https://universe.roboflow.com/bonefrac/bb-frac },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-11-14 },
}