3D U $^2$ -Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

4 September 2019

Papers citing "3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation"

6 / 6 papers shown

Title
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images An Zeng Chunbiao Wu Meiping Huang Jian Zhuang Shanshan Bi ... Tianchen Wang Yiyu Shi X. Li Guisen Lin Xiaowei Xu 16 57 0 03 Nov 2022
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond Tiange Xiang Chaoyi Zhang Xinyi Wang Yang Song Dongnan Liu Heng-Chiao Huang Weidong (Tom) Cai MedIm AI4CE SSeg 10 13 0 11 Mar 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data Yuyin Zhou D. Dreizin Yan Wang Fengze Liu Wei Shen Alan Yuille 18 16 0 04 Jan 2022
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 13 1,040 0 02 Nov 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 34 84 0 05 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 38 623 0 02 Aug 2020