humerus-son Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Medical Diagnostics: The "humerus-son" model can be implemented in healthcare clinics and hospitals for instant and efficient identification of specific types of fractures in the humerus bone, aiding medical professionals in accurate and quicker diagnosis.
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Telemedicine: The model could be integrated into telemedicine applications, providing remote diagnostics for patients who can't immediately reach a healthcare facility. This would be particularly useful in rural or underserved communities.
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Medical Training: The model could be used in educational contexts, helping medical students learn about different fracture classes using real x-ray images, and self-testing their identification skills.
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Emergency Care: The system might be deployed in emergency ambulances or remote areas, providing paramedics with a tool to quickly diagnose humerus injuries, potentially saving critical time and improving the quality of prehospital care.
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Sport Medicine: In sports, where humerus fractures are common, this model could be used by sports medicine doctors to promptly identify the type of fracture athletes sustained, accelerating treatment, and recovery process.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
humerus-son_dataset,
title = { humerus-son Dataset },
type = { Open Source Dataset },
author = { Graduation },
howpublished = { \url{ https://universe.roboflow.com/graduation/humerus-son } },
url = { https://universe.roboflow.com/graduation/humerus-son },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-11-23 },
}