[A deep learning model based on magnetic resonance imaging and clinical feature fusion for predicting preoperative cytokeratin 19 status in hepatocellular carcinoma].
The multi-scale and multi-modality feature fusion model based on MRI and clinical parameters is capable of predicting CK19 status of HCC, demonstrating the feasibility of combining deep learning methods with MRI and clinical features for preoperative prediction of CK19 status.
Authors
- Xiao Hu (ORCID: https://orcid.org/0000-0003-1128-4099)
- Xiaoqi Lin (ORCID: https://orcid.org/0000-0002-0760-3950)
- Chen Chen (ORCID: https://orcid.org/0000-0002-3525-9755)
- Shuo Wang (ORCID: https://orcid.org/0000-0003-4919-5390)
- Weiyang Fang
Institutions
- Guangdong Shunde Innovative Design Institute (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2024-09-20
- DOI
- https://doi.org/10.12122/j.issn.1673-4254.2024.09.14
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article