Advanced liver fibrosis detection using a two-stage deep learning approach on standard T2-weighted MRI.
Objectives: To develop and validate a deep learning model for automated detection of advanced liver fibrosis using standard T2-weighted MRI. Methods: We utilized two datasets: the public CirrMRI600 + dataset (n = 374) containing T2-weighted MRI scans from patients with cirrhosis (n = 318) and health...
| Published in: | Abdominal Radiology Vol. 51; no. 4; pp. 1770 - 1783 |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Apr2026
|
| Online Access: | View this record in EBSCOhost |