FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs

FractureAtlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization, and segmentation. The dataset contains a total of 4,083 X-Ray images with annotation in COCO, VGG, YOLO, and Pascal VOC format. This dataset is made freely available for any purpose. The data provided within this work are free to copy, share or redistribute in any medium or format. The data might be adapted, remixed, transformed, and built upon. The dataset is licensed under a CC-BY 4.0 license. It should be noted that to use the dataset correctly, one needs to have knowledge of medical and radiology fields to understand the results and make conclusions based on the dataset. It's also important to consider the possibility of labeling errors.Furthermore, any publication that utilizes this resource should acknowledge the original paper, and the authors are encouraged to share their code and models to assist the research community in replicating the experiments and promoting the field of medical imaging.

FractureAtlas是一款肌肉骨骼骨折数据集，配备适用于分类、目标定位与图像分割等深度学习任务的标注信息。该数据集总计包含4083张X射线影像，标注格式涵盖COCO、VGG、YOLO以及Pascal VOC四种标准格式。本数据集可免费用于任意用途，其中的数据集内容可在任意媒介或格式下自由复制、分享或再分发，允许对其进行改编、重构、修改及衍生开发。本数据集采用CC-BY 4.0许可协议进行授权。需注意，若要正确使用本数据集，使用者需具备医学与放射学领域的相关知识，方能理解数据集结果并基于其得出结论。同时，还需考虑到数据集存在标注错误的可能性。此外，任何使用本数据集的学术出版物均需引用原论文，鼓励作者公开其代码与模型，以助力研究社区复现实验结果并推动医学影像领域的发展。