4 papers
RL-UNet: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation
Jierui Qu, Jianchun Zhao
Accurate whole-heart segmentation is a critical component in the precise diagnosis and interventional planning of cardiovascular diseases. Integrating complementary information fro…
MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement
Jierui Qu, Jianchun Zhao
Accurate segmentation of medical images is fundamental to tumor diagnosis and treatment planning. SAM-based interactive segmentation has gained attention for its strong generalizat…
RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation
Jierui Qu, Jianchun Zhao
Medical image segmentation is essential for computer-assisted diagnosis and treatment planning, yet substantial anatomical variability and boundary ambiguity hinder reliable deline…
A DyL-Unet framework based on dynamic learning for Temporally Consistent Echocardiographic Segmentation
Jierui Qu, Jianchun Zhao
Accurate segmentation of cardiac anatomy in echocardiography is essential for cardiovascular diagnosis and treatment. Yet echocardiography is prone to deformation and speckle noise…