3 papers
cs.CV2026★ 2 cited
MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
Libin Lan, Yanxin Li, Xiaojuan Liu +4
Accurate medical image segmentation allows for the precise delineation of anatomical structures and pathological regions, which is essential for treatment planning, surgical naviga…
cs.CV2025
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization
Libin Lan, Lu Jiang, Tianshu Yu +2
Video summarization aims to generate a compact, informative, and representative synopsis of raw videos, which is crucial for browsing, analyzing, and understanding video content. D…
eess.IV2024
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution
Pengzhou Cai, Lu Jiang, Yanxin Li +2
Pubic symphysis-fetal head segmentation in transperineal ultrasound images plays a critical role for the assessment of fetal head descent and progression. Existing transformer segm…