Integrating Magnetic Resonance Imaging-Based Deep Learning and Radiomics to Predict Treatment Response in Hepatocellular Carcinoma Receiving Combined Systemic and Locoregional Therapies: A Multicenter Study.
Overview & Synopsis
Open access biomedical research article published in Liver Cancer.
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | Integrating Magnetic Resonance Imaging-Based Deep Learning and Radiomics to Predict Treatment Response in Hepatocellular Carcinoma Receiving Combined Systemic and Locoregional Therapies: A Multicenter Study. |
|---|---|
| Author / Organization | Wang LN, Zhou SQ, Li F, Wu LF, Xu L, Wang K, Ge NL, Chen Y, Peng T, Song TQ, Yan ML, Zhang L, Zhou LD, Chen YJ, Zhu GD, Pan YX, Xue H, Zhu GZ, Liu DM, Zeng ZX, Hu K, Yang YC, Yang ZY, He T, Wang ZY, Huang C, Shen YH, Zhu XD, Li H, Gao Q, Zhou J, Fan J, Xu B, Sun HC, China Liver Cancer Study Group Young Investigators (CLEAP) |
| Subject & Discipline | Liver Cancer |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-50064 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |