Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease
This study successfully identified a radiomics machine learning method that effectively differentiates Crohn's disease bowel lesions from normal bowel segments. Further studies with larger sample sizes and external cohorts are needed to validate these findings.
Authors
- Bihong T. Chen (ORCID: https://orcid.org/0000-0002-3127-0711)
- Weiqiang Yan (ORCID: https://orcid.org/0000-0001-6824-0543)
- Huixian Liu
- Shi Qiao
- Yajing Hao
- Jun Mao (ORCID: https://orcid.org/0000-0002-5605-9189)
- Xiaoling Liu (ORCID: https://orcid.org/0000-0002-6191-8005)
Institutions
- City Of Hope National Medical Center (US)
- Jinan University (CN)
- Zhuhai People's Hospital (CN)
- Peking University Shenzhen Hospital (CN)
- Shenzhen Bao'an District People's Hospital (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1186/s12880-024-01480-5
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02