trish abnormal/normal Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Medical Diagnostics: The model can be used in hospitals, clinics, or doctor practices to help provide a quick preliminary diagnosis for patients, especially in urgent care settings. Identifying fractures and hairline fractures can expedite treatment and intervention plans.
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Telemedicine App: The model can be integrated into telemedicine applications to provide virtual first-line diagnostics for patients who cannot readily access medical facilities. This is particularly useful in remote areas and for elderly or disabled people.
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Emergency Rescue: The model can be used by rescue teams in disaster-stricken areas to quickly identify serious injuries that need immediate attention, allowing for more informed decision-making and prioritization of patients.
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Training Medical Students: This model can be used to educate medical students in the process of identifying fractures and hairline fractures, providing valuable, hands-on training experience without the risks associated with real-world diagnostics.
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Manufacturing and Industrial Safety: If similar models are developed for other types of X-rays, they can be used in situations involving workplace injuries in heavy industries. Quick diagnosis can help provide immediate necessary treatment and document the extent of injuries for workers' compensation claims.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
trish-abnormal-normal_dataset,
title = { trish abnormal/normal Dataset },
type = { Open Source Dataset },
author = { trish },
howpublished = { \url{ https://universe.roboflow.com/trish-zt1e7/trish-abnormal-normal } },
url = { https://universe.roboflow.com/trish-zt1e7/trish-abnormal-normal },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-12-28 },
}