3 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation
Ruiqiang Xiao, Zhuoyue Wan
Vessel image segmentation plays a pivotal role in medical diagnostics, aiding in the early detection and treatment of vascular diseases. While segmentation based on deep learning h…
cs.CV2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Ruitao Xie, Jingbang Chen, Limai Jiang +3
Explainability poses a major challenge to artificial intelligence (AI) techniques. Current studies on explainable AI (XAI) lack the efficiency of extracting global knowledge about…
cs.CV2023★ 3 cited
SCOPE: Structural Continuity Preservation for Medical Image Segmentation
Yousef Yeganeh, Azade Farshad, Goktug Guevercin +5
Although the preservation of shape continuity and physiological anatomy is a natural assumption in the segmentation of medical images, it is often neglected by deep learning method…