trish abnormal/normal Computer Vision Project

trish

Updated 2 years ago

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Classes (3)
Fracture
abnormal
hair line fracture

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

LICENSE
CC BY 4.0

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 2024-11-21 },
                            }
                        
                    

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