Bone Break Classification Image Dataset
This dataset contains 1,130 X-ray images representing various types of bone fractures, allowing computer vision models to be trained for medical classification.
1,130 annotated x-ray images, DICOM/JPEG formats depending on availability
CC BY 4.0
Description
The Bone Break Classification dataset brings together annotated radiographs covering a wide range of bone fractures: avulsion, comminuted, oblique, spiral fractures, etc. These images are intended to train models capable of automating the classification of fractures.
What is this dataset for?
- Develop diagnostic support systems for radiology
- Training medical vision models for the classification of fractures
- Improving the tools to assist health professionals
Can it be enriched or improved?
It is possible to add additional annotations, such as the precise location of fractures or associated clinical data, to enrich the diagnostic value.
🔎 In summary
🧠 Recommended for
- Medical AI researchers
- Radiologists
- Assisted Diagnostics Developers
🔧 Compatible tools
- DICOM viewers
- TensorFlow
- PyTorch
- MONAI
💡 Tip
Use specialized tools for preprocessing medical images in order to optimize model performance.
Frequently Asked Questions
Can this dataset be used for reliable automatic medical diagnosis?
This dataset helps to train models, but a final diagnosis must always be validated by a health professional.
What type of annotations does the dataset contain?
The dataset contains labels for various types of fractures, but not necessarily precise location annotations.
Is it suitable for commercial use?
Yes, subject to compliance with the CC BY 4.0 license with mandatory attribution.
