Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

4 September 2019

Papers citing "Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion"

7 / 7 papers shown

Title
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya Zhang Xiaoyun Zhang Yuehua Li 14 10 0 13 Oct 2020
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy Zhuotun Zhu D. Jin K. Yan T. Ho X. Ye Dazhou Guo Chun-Hung Chao Jing Xiao Alan Yuille Le Lu 25 30 0 27 Aug 2020
Superpixel-Guided Label Softening for Medical Image Segmentation Han Li Dong Wei Shilei Cao Kai Ma Liansheng Wang Yefeng Zheng 19 22 0 17 Jul 2020
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification Zhuotun Zhu K. Yan D. Jin Jinzheng Cai T. Ho ... Chun-Hung Chao X. Ye Jing Xiao Alan Yuille Le Lu 25 10 0 27 May 2020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search Dazhou Guo D. Jin Zhuotun Zhu T. Ho Adam P. Harrison Chun-Hung Chao Jing Xiao Alan Yuille Chien-Yu Lin Le Lu 22 59 0 17 Apr 2020
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 30 214 0 18 Nov 2019
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 57 185 0 11 Jun 2018