Dataset Information
An interactive cascaded deep learning framework with expert refinement for accurate striatal subregion segmentation.
Ontology highlight
ABSTRACT:
SUBMITTER: Kim J
PROVIDER: S-EPMC12909890 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature
Publications
An interactive cascaded deep learning framework with expert refinement for accurate striatal subregion segmentation.
Scientific reports 20260128 1
Accurate delineation of striatal subregions in brain MRI is essential for reliable dopaminergic PET quantification and the assessment of neurodegenerative disorders such as Parkinson’s disease. In this study, we introduce StriaSeg-iARM, a cascaded deep learning framework designed for high-precision segmentation of 12 anatomically defined striatal subregions in native space. The model employs a two-stage 3D residual U-Net architecture, where the first stage localizes the striatum and the second p ...[more]