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 • 27 Jan 2024 • Hongkun Sun, Jing Xu, Yuping Duan
The convolutional neural network-based methods have become more and more popular for medical image segmentation due to their outstanding performance.
Ranked #11 on
Medical Image Segmentation
on Synapse multi-organ CT
(using extra training data)