A two-stage 3D Unet framework for multi-class segmentation on full
resolution image

A two-stage 3D Unet framework for multi-class segmentation on full resolution image

12 April 2018

Tom J. MacGillivray

Guang Yang

Papers citing "A two-stage 3D Unet framework for multi-class segmentation on full resolution image"

5 / 5 papers shown

Title
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation A. Hung Haoxin Zheng Kai Zhao Xiaoxi Du Kaifeng Pang Qi Miao Steven S. Raman D. Terzopoulos Kyunghyun Sung 3DPC 26 3 0 08 Nov 2023
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks Sohini Roychowdhury 25 1 0 05 Apr 2023
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 53 672 0 09 Nov 2019
CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation Zhanwei Xu Ziyi Wu Jianjiang Feng SSeg 14 66 0 12 Dec 2018
Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images Gongning Luo Suyu Dong Kuanquan Wang W. Zuo Shaodong Cao Henggui Zhang 28 72 0 09 Apr 2018