A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors
Primary malignant bone tumors are the third highest cause of cancer-related mortality among patients under the age of 20. X-ray scan is the primary tool for detecting bone tumors. However, due to the varying morphologies of bone tumors, it is challenging for radiologists to make a definitive diagnosis based on radiographs. With the recent advancement in deep learning algorithms, there is a surge of interest in computer-aided diagnosis of primary bone tumors. Nonetheless, the development in this field has been hindered by the lack of publicly available X-ray datasets for bone tumors. To tackle this challenge, we established the Bone Tumor X-ray Radiograph dataset (termed BTXRD) in collaboration with multiple medical institutes and hospitals. The BTXRD dataset comprises 3,746 bone images (1,879 normal and 1,867 tumor), with clinical information and global labels available for each image, and distinct mask and annotated bounding box for each tumor instance. This publicly available dataset can support the development and evaluation of deep learning algorithms for the diagnosis of primary bone tumors.
Authors
- Jiangning Song (ORCID: https://orcid.org/0000-0001-8031-9086)
- Chuan Chai (ORCID: https://orcid.org/0000-0001-5059-1644)
- Hongtao Wang (ORCID: https://orcid.org/0000-0002-6564-5753)
- Dinggui Lu (ORCID: https://orcid.org/0000-0001-9077-5552)
- Geoffrey I. Webb (ORCID: https://orcid.org/0000-0001-9963-5169)
- Shunhan Yao (ORCID: https://orcid.org/0000-0001-8821-633X)
- Yuanxiang Huang (ORCID: https://orcid.org/0000-0001-9950-066X)
- Xiaoyu Wang (ORCID: https://orcid.org/0009-0003-1706-7615)
- Shanshan Li (ORCID: https://orcid.org/0000-0002-9021-8470)
- Yiwen Zhang (ORCID: https://orcid.org/0000-0001-9570-4147)
- Yuming Guo (ORCID: https://orcid.org/0000-0002-1766-6592)
- Zhikang Wang (ORCID: https://orcid.org/0000-0001-9587-1965)
- Ian Costa Paixao
- Qingfeng Chen (ORCID: https://orcid.org/0000-0003-4941-9024)
Institutions
- Guangxi University (CN)
- Guangxi Medical University (CN)
- Discovery Institute (US)
- Australian Regenerative Medicine Institute (AU)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
- Monash University (AU)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1038/s41597-024-04311-y
- Citations
- 14
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 19.04
Funders
- China Scholarship Council
- Specific Research Project of Guangxi for Research Bases and Talents