Hand 1 Computer Vision Project

Abdalla Shuqair

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Classes (15)
MC1
MC2
MC3
MC4
MC5
Radius
Ulna
capitate
hamate
lunate
pisiform
scaphoid
trapezium
trapezoid
triquetrum
Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Supervision

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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{
                            hand-1-8s8zv_dataset,
                            title = { Hand 1 Dataset },
                            type = { Open Source Dataset },
                            author = { Abdalla Shuqair },
                            howpublished = { \url{ https://universe.roboflow.com/abdalla-shuqair-a6pml/hand-1-8s8zv } },
                            url = { https://universe.roboflow.com/abdalla-shuqair-a6pml/hand-1-8s8zv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

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