3 papers
cs.CL2024
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations
Yao Wang, Xin Liu, Weikun Kong +4
Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks in the field of Information Extraction. Despite the successes achieved by the traditional…
eess.IV2024
A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images
Yizhi Pan, Junyi Xin, Tianhua Yang +3
In medical imaging, accurate image segmentation is crucial for quantifying diseases, assessing prognosis, and evaluating treatment outcomes. However, existing methods lack an in-de…
eess.IV2023
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
Guanqun Sun, Yizhi Pan, Weikun Kong +5
Accurate medical image segmentation is critical for disease quantification and treatment evaluation. While traditional Unet architectures and their transformer-integrated variants…