3 papers
cs.CV2025
A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation
Chaohan Wang, Yutong Xie, Qi Chen +2
Mamba, with its selective State Space Models (SSMs), offers a more computationally efficient solution than Transformers for long-range dependency modeling. However, there is still…
eess.IV2025
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
Weiren Zhao, Feng Wang, Yanran Wang +3
Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. Wh…
cs.CV2024
Act Like a Radiologist: Radiology Report Generation across Anatomical Regions
Qi Chen, Yutong Xie, Biao Wu +5
Automating radiology report generation can ease the reporting workload for radiologists. However, existing works focus mainly on the chest area due to the limited availability of p…