Deep Learning-Based Automatic Segmentation Combined with Radiomics to Predict Post-TACE Liver Failure in HCC Patients
This reliable combined predictive model can accurately predict PTLF in HCC patients, which can be a valuable reference for doctors in making suitable treatment plan.
Authors
- Xiaoming Zheng (ORCID: https://orcid.org/0000-0003-0941-9089)
- Xingwang Wu (ORCID: https://orcid.org/0000-0002-9481-9425)
- Kaicai Liu (ORCID: https://orcid.org/0000-0002-3561-7209)
- Wei Guo (ORCID: https://orcid.org/0000-0003-4406-1094)
- Bo Cao (ORCID: https://orcid.org/0000-0003-4656-7152)
- Shuai Li (ORCID: https://orcid.org/0000-0003-4182-1588)
- Chang Rong (ORCID: https://orcid.org/0000-0002-2537-4151)
Institutions
- Anhui Medical University (CN)
- Affiliated Hospital of Taishan Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/jhc.s499436
- Citations
- 5
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.85