Hand X-rays findings and a disease screening for Turner syndrome through deep learning model
We propose that certain hand radiograph parameters have the potential to serve as diagnostic indicators for TS. The utilization of deep learning models has significantly enhanced the precision of disease diagnosis.
Authors
- Liqi Zhou
- Yabin Hu (ORCID: https://orcid.org/0000-0001-7622-5554)
- Yumo Wang (ORCID: https://orcid.org/0000-0002-2437-7836)
- Shijian Liu (ORCID: https://orcid.org/0000-0002-7050-463X)
- Yirou Wang (ORCID: https://orcid.org/0000-0002-7128-7657)
- Yao Chen (ORCID: https://orcid.org/0000-0002-5869-1612)
- Xiumin Wang (ORCID: https://orcid.org/0000-0002-9012-1273)
- Yu Ding (ORCID: https://orcid.org/0000-0003-4161-3658)
- Chen Guo
- Feihan Hu
Institutions
- Shanghai Jiao Tong University (CN)
- Nanjing University of Science and Technology (CN)
- Shanghai Children's Medical Center (CN)
- Shanghai University of International Business and Economics (CN)
Publication Details
- Journal
- BMC Pediatrics
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1186/s12887-025-05532-9
- Citations
- 1
- Primary Topic
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- National Key Research and Development Program of China