2 citations · 2 across the 1 of their papers we have counts for
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…
eess.IV2024
Pubic Symphysis-Fetal Head Segmentation Using Pure Transformer with Bi-level Routing Attention
Pengzhou Cai, Lu Jiang, Yanxin Li +1
In this paper, we propose a method, named BRAU-Net, to solve the pubic symphysis-fetal head segmentation task. The method adopts a U-Net-like pure Transformer architecture with bi-…
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…