26 citations · 35 across the 7 of their papers we have counts for
9 papers
CVP-BAA: Efficiently Adapting Segment Anything Model for Medical Image Segmentation
Mei Wang, Minghui Li, Libin Lan
Various task-specific medical segmentation models have demonstrated strong performance, their heavy reliance on extensive annotations and highly specialized architectures limits th…
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…
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
Ruining Deng, Tianyuan Yao, Yucheng Tang +44
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population and causing significant mortality. While kidney biopsy remains the gold standard f…
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…
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…
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
Pengzhou Cai, Xueyuan Zhang, Libin Lan +1
In recent years, significant progress has been made in tumor segmentation within the field of digital pathology. However, variations in organs, tissue preparation methods, and imag…
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
Jieyun Bai, Zihao Zhou, Zhanhong Ou +26
Segmentation of the fetal and maternal structures, particularly intrapartum ultrasound imaging as advocated by the International Society of Ultrasound in Obstetrics and Gynecology…
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
Libin Lan, Pengzhou Cai, Lu Jiang +3
Accurate medical image segmentation is essential for clinical quantification, disease diagnosis, treatment planning and many other applications. Both convolution-based and transfor…
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-…