hand xray Computer Vision Project
Updated 3 months ago
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Here are a few use cases for this project:
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Medical Diagnostic Aid: Radiologists and physicians could leverage this model to quickly and accurately identify different parts of the hand on an x-ray, speeding diagnostic times for patients with hand, wrist, or lower arm conditions such as fractures, tumors, or infections.
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Education and Training: The hand xray model could be used in medical schools and radiography programs as a learning tool for students who need to identify and understand different bones and features in hand x-rays.
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Telemedicine Services: This model could serve as an essential component in telemedicine, where healthcare professionals could remotely diagnose hand conditions by uploading the x-ray images into the system, alleviating patients' need to travel.
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Automated Screening Systems: It could be utilized for triage in emergency departments or urgent care clinics to prioritize patients, by detecting severe conditions such as fractures from x-ray images automatically.
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Research Purposes: Scientists studying diseases affecting the bones in hand, like osteoporosis or arthritis, could use this model to automate the identification of Metacarpus-Sanders-Radius-Ulna classes in large x-ray datasets.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hand-xray-f2ml6_dataset,
title = { hand xray Dataset },
type = { Open Source Dataset },
author = { hand xray },
howpublished = { \url{ https://universe.roboflow.com/hand-xray/hand-xray-f2ml6 } },
url = { https://universe.roboflow.com/hand-xray/hand-xray-f2ml6 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-12-18 },
}