[Identification of osteoid and chondroid matrix mineralization in primary bone tumors using a deep learning fusion model based on CT and clinical features: a multi-center retrospective study].
The deep learning fusion model based on multi-center CT images and clinical features is capable of accurate classification of osseous and chondroid matrix mineralization and may potentially improve the accuracy of clinical diagnoses of osteogenic versus chondrogenic primary bone tumors.
Authors
- Zixiao Lu (ORCID: https://orcid.org/0000-0003-0809-8703)
- Menghong Wang (ORCID: https://orcid.org/0000-0001-7349-699X)
- Qian Yang (ORCID: https://orcid.org/0000-0003-3243-3153)
- Yinghua Zhao (ORCID: https://orcid.org/0000-0002-4879-5047)
- Qianjin Feng (ORCID: https://orcid.org/0000-0001-8647-0596)
- Liwen Song (ORCID: https://orcid.org/0000-0002-1291-266X)
- Qingqing Zou
- C Liu
Institutions
- Third Affiliated Hospital of Southern Medical University (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2024-12-20
- DOI
- https://doi.org/10.12122/j.issn.1673-4254.2024.12.18
- Primary Topic
- Bone health and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China