Thickened 2D Networks for Efficient 3D Medical Image Segmentation

2 April 2019

Papers citing "Thickened 2D Networks for Efficient 3D Medical Image Segmentation"

4 / 4 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 30 4 0 08 Nov 2023
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set Wei Wu Yu Shi Xukun Li Yukun Zhou Peng Du Shuangzhi Lv T. Liang J. Sheng 32 6 0 09 Jun 2020
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 180 124 0 29 Nov 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 49 185 0 11 Jun 2018