9 citations · 9 across the 3 of their papers we have counts for
4 papers
Polyline Path Masked Attention for Vision Transformer
Zhongchen Zhao, Chaodong Xiao, Hui Lin +3
Global dependency modeling and spatial position modeling are two core issues of the foundational architecture design in current deep learning frameworks. Recently, Vision Transform…
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
Shengbo Tan, Rundong Xue, Shipeng Luo +7
Hepatic vessels in computed tomography scans often suffer from image fragmentation and noise interference, making it difficult to maintain vessel integrity and posing significant c…
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
Zhaozhi Xie, Bochen Guan, Weihao Jiang +4
The Segment Anything Model (SAM) has exhibited outstanding performance in various image segmentation tasks. Despite being trained with over a billion masks, SAM faces challenges in…
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation
Jiahui Zhong, Wenhong Tian, Yuanlun Xie +4
Current state-of-the-art medical image segmentation methods prioritize accuracy but often at the expense of increased computational demands and larger model sizes. Applying these l…