4 papers · 1 filter
HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation
Zhuangzhi Gao, Feixiang Zhou, He Zhao +11
Precise biomedical image segmentation is crucial for clinical diagnosis. Geometric cues (e.g., boundary, shape, and topology) can improve structural consistency, yet most are task-…
Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification
Feixiang Zhou, Jianyang Xie, Zhuangzhi Gao +10
The missing-modality problem poses a significant challenge in image-tabular multimodal learning across a wide range of multimedia applications, including product understanding, rec…
Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation
Zhuangzhi Gao, Feixiang Zhou, He Zhao +8
Segmenting curvilinear structures in medical images is essential for analyzing morphological patterns in clinical applications. Integrating topological properties, such as connecti…
GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
Feixiang Zhou, Zhuangzhi Gao, He Zhao +5
Accurate segmentation of tubular structures, such as vascular networks, plays a critical role in various medical domains. A remaining significant challenge in this task is structur…