FracAtlas骨折分类定位分割数据集

数据集获取（Figshare）

• 源站标题：FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs
• DOI：10.6084/m9.figshare.22363012.v7
• 发布日期：2026-06-13
• 文件数：1 个
• 文件总体积：338.44 MB
• 源站页面：https://figshare.com/articles/dataset/The_dataset/22363012

命令行下载

curl -L -o "FracAtlas.zip" "https://ndownloader.figshare.com/files/65518038"

文件清单

• FracAtlas.zip（338.44 MB）

文件总体积 338.44 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

FracAtlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization, and segmentation. The dataset contains a total of 4,073 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.
*Note: Some changes have been made to the dataset since publication, which may lead to discrepancies in the stated count in the original paper and the dataset. Please, adapt the values from this dataset as it is more up-to-date.
Special Thanks to Malik Muhammed [Fırat University, Turkey] for contributing to the dataset.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.22363012.v7（source: https://figshare.com/articles/dataset/The_dataset/22363012）。