Establishment of normative spleen volume in a Japanese cohort using automated CT segmentation: diagnostic implications for liver fibrosis

We established population-specific spleen volume reference values using deep learning-based segmentation. The model enables objective identification of splenomegaly from routine clinical parameters, supporting its integration into artificial intelligence-assisted radiology workflows.