MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation.

ABSTRACT: The management of Unruptured Intracranial aneurysm (UIA) depends on the shape parameters assessment of lesions, which requires target segmentation. However, the segmentation of UIA is a challenging task due to the small volume of the lesions and the indistinct boundary between the lesion and the parent arteries. To relieve these issues, this article proposes a multi-domain transformation-based Mamba-UNet (MTMU) for UIA segmentation. The model employs a U-shaped segmentation architecture, equipped with the feature encoder consisting of a set of Mamba and Flip (MF) blocks. It endows the model with the capability of long-range dependency perceiving while balancing computational cost. Fourier Transform (FT) based connection allows for the enhancement of edge information in feature maps, thereb

SUBMITTER: Li B 

PROVIDER: S-EPMC11887374 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature