Facial characteristics description and classification based on 3D images of Fragile X syndrome in a retrospective cohort of young Chinese males
The 3D facial images could assist to distinguish male patients with FXS by machine learning, in which the selected regional features performed better than the global features and sparse landmarks. The genetic and methylation status might affect regional facial features differently.
Authors
- Xinran Dong (ORCID: https://orcid.org/0000-0001-9868-8795)
- Wenhao Zhou (ORCID: https://orcid.org/0000-0001-8956-7238)
- Chunchun Hu (ORCID: https://orcid.org/0009-0002-3908-7548)
- Yiting Zhu (ORCID: https://orcid.org/0000-0003-1113-7507)
- Yunqian Zhu
- Lianni Mei
- Sijia Wang (ORCID: https://orcid.org/0000-0001-6961-7867)
- Jun Chen (ORCID: https://orcid.org/0000-0001-8883-0970)
- Qiong Xu (ORCID: https://orcid.org/0009-0001-2578-0491)
- Huihui Chen (ORCID: https://orcid.org/0000-0003-0582-1724)
- Xiu Xu
- Dongyun Li (ORCID: https://orcid.org/0009-0004-4045-7707)
- Siyuan Du
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Institute of Nutrition and Health (CN)
- Children's Hospital of Fudan University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-03-02
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.109912
- Primary Topic
- Genetics and Neurodevelopmental Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00