Pelvis AP X-ray Computer Vision Project

Linas WS

Updated 3 months ago

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Classes (7)
FEMUR
ILIAK
OBTURATOR
PUBIS
SAKRO-ILIAK-EKLEM
SUORCIL
TEARDROP
Description

Here are a few use cases for this project:

  1. Medical Diagnosis: This model can be used in healthcare institutions for aiding physicians in the diagnosis of pelvis-related conditions such as fractures or degenerative diseases in the Iliac, Obturator, Femur, Teardrop, Pubis, and Suorcil regions, hence, expediting patient's treatment process.

  2. Medical Training: The model could serve as a teaching aid for medical students and radiologists in training, helping them to identify and distinguish between the different femur classes in a pelvis AP X-ray.

  3. Injury Analysis: The model can be used in sports medicine and physiotherapy to analyze and track the recovery of athletes' hip injuries. This will aid in creating a more effective rehabilitation plan.

  4. Forensic Anthropology: Forensic experts could use this model in their investigation of unknown remains, as it can help identify specific features in the pelvic area that are crucial in determining sex, age, and other identifiers for unrecognizable remains.

  5. Artificial Intelligence Prosthetics: The model could be used in the development of more advanced AI-driven prosthetics, providing data for the accurate alignment of prosthetics, which would be particularly relevant for the hip joint area.

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{
                            pelvis-ap-x-ray-ys9pz_dataset,
                            title = { Pelvis AP X-ray Dataset },
                            type = { Open Source Dataset },
                            author = { Linas WS },
                            howpublished = { \url{ https://universe.roboflow.com/linas-ws/pelvis-ap-x-ray-ys9pz } },
                            url = { https://universe.roboflow.com/linas-ws/pelvis-ap-x-ray-ys9pz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-12-18 },
                            }
                        
                    

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