no code implementations • 1 Jan 2025 • Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, Zhongshi He
Based on this, we propose a transformer-like architecture, named FullTransNet, which has a full encoder-decoder structure with local-global sparse attention for video summarization.
no code implementations • 14 Oct 2024 • Pengzhou Cai, Lu Jiang, Yanxin Li, Xiaojuan Liu, Libin Lan
To address this issue, we introduce a dynamic, query-aware sparse attention mechanism for ultrasound image segmentation.
no code implementations • 18 Sep 2024 • Pengzhou Cai, Xueyuan Zhang, Libin Lan, Ze Zhao
In recent years, significant progress has been made in tumor segmentation within the field of digital pathology.
no code implementations • 17 Sep 2024 • Jieyun Bai, ZiHao Zhou, Zhanhong Ou, Gregor Koehler, Raphael Stock, Klaus Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir
This challenge aimed to enhance the development of automatic segmentation algorithms at an international scale, providing the largest dataset to date with 5, 101 intrapartum ultrasound images collected from two ultrasound machines across three hospitals from two institutions.
1 code implementation • 1 Jan 2024 • Libin Lan, Pengzhou Cai, Lu Jiang, Xiaojuan Liu, Yongmei Li, Yudong Zhang
Specifically, BRAU-Net++ uses bi-level routing attention as the core building block to design our u-shaped encoder-decoder structure, in which both encoder and decoder are hierarchically constructed, so as to learn global semantic information while reducing computational complexity.
no code implementations • 30 Sep 2023 • Pengzhou Cai, Lu Jiang, Yanxin Li, Libin Lan
In this paper, we propose a method, named BRAU-Net, to solve the pubic symphysis-fetal head segmentation task.