Name: hand xray Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1154 images

Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            hand-xray_dataset,
                            title = { hand xray Dataset },
                            type = { Open Source Dataset },
                            author = { HF },
                            howpublished = { \url{ https://universe.roboflow.com/hf-w1rwi/hand-xray } },
                            url = { https://universe.roboflow.com/hf-w1rwi/hand-xray },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-04-30 },
                            }