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SegTHOR2019
SegTHOR Challenge: Segmentation of THoracic Organs at Risk in CT Images

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images (SegTHOR2019)

co-located with the 16th International Symposium on Biomedical Imaging ( ISBI )

Caroline Petitjean *
Su Ruan *
Zoé Lambert **
Bernard Dubray *,***

Table of Contents

• Segmentation of CT Thoracic Organs by Multi-resolution VB-nets
  Miaofei Han , Guang Yao , Wenhai Zhang , Guangrui Mu , Yiqiang Zhan , Xiang Zhou , Yaozong Gao
• Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images
  Tao He , Jixiang Guo , Jianyong Wang , Xiuyuan Xu , Zhang Yi
• A Cascaded Two-step Approach For Segmentation of Thoracic Organs
  Sekeun Kim , Yeonggul Jang , Kyunghoon Han , Hackjoon Shim , Hyuk-Jae Chang
• Two-stage Network for OAR segmentation
  Pan Chen , Chenghai Xu , Xiaoying Li , Yingying Ma , Fenglong Sun
• Segmentation of Thoracic Organs at Risk in CT Images Combining Coarse and Fine Network
  Li Zhang , Lishen Wang , Yijie Huang , Huai Chen
• Dilated U-Net based Segmentation of Organs at Risk in Thoracic CT Images
  Manoj Satya Kumar Gali , Neerja Garg , Srikanth Vasamsetti
• 3D Enhanced Multi-scale Network for Thoracic Organs Segmentation
  Qin Wang , Weibing Zhao , Chunhui Zhang , Liyue Zhang , Changmiao Wang , Zhen Li , Shuguang Cui , Guanbin Li
• Segthor: Segmentation of Thoracic Organs at Risk in CT Images
  Vladimir Kondratenko , Dmitry Denisenko , Artem Pimkin , Mikhail Belyaev
• Segmentation of Thoracic Organs Using Pixel Shuffle
  Dmitry Lachinov
• Multi-organ Segmentation using Simplified Dense V-net with Post-processing
  Ming Feng , Weiquan Huang , Yin Wang , Yuxia Xie
• Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks
  Louis van Harten , Julia Noothout , Joost Verhoeff , Jelmer Wolterink , Ivana Išgum
• A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
  Sulaiman Vesal , Nishant Ravikumar , Andreas Maier