Computed tomography radiomics combined with clinical parameters for hepatocellular carcinoma differentiation: a machine learning investigation
The integration of CT radiomics features with clinical parameters through machine learning provides a promising non-invasive approach for predicting HCC pathological differentiation. This combined model could serve as a valuable tool for preoperative treatment planning.
Authors
- Bin Zhong
- Shijing Ma (ORCID: https://orcid.org/0000-0001-5967-880X)
- Jin Li
- Yingying Zhu (ORCID: https://orcid.org/0000-0001-5583-1424)
- Changhong Pu
Institutions
- Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
- Baise University (CN)
- Chiang Mai University (TH)
Publication Details
- Journal
- Polish Journal of Radiology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.5114/pjr/200631
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36