Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC
Our prognostic model based on pathology deep learning provided a valuable means for predicting HCC patient recurrence condition, and it could also improve patient stratification to sorafenib treatment, which help clinical decision-making in HCC.
Authors
- Qiongzhu Dong (ORCID: https://orcid.org/0000-0002-2433-7199)
- Ji Xiong (ORCID: https://orcid.org/0000-0001-8224-3441)
- Zhiqiu Hu (ORCID: https://orcid.org/0000-0002-3244-1607)
- Lei Liu (ORCID: https://orcid.org/0000-0002-9995-9080)
- Yixin Li (ORCID: https://orcid.org/0009-0002-9290-5300)
- Fan Zhong (ORCID: https://orcid.org/0000-0001-9915-9609)
- Ning Ren (ORCID: https://orcid.org/0009-0001-9881-5659)
- Qimeng Chang
Institutions
- Fudan University (CN)
- Minhang District Central Hospital (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1186/s12916-025-03977-4
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80