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Vol-2349
urn:nbn:de:0074-2349-2
Copyright ©
2019 for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
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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)
Edited by
*
LITIS EA 4108,
Université de Rouen, 76800 Saint-Etienne-du-Rouvray, France
**
LMI, M2SiNum project,
INSA de Rouen, 76800 Saint-Etienne-du-Rouvray, France
***
Centre Henri Becquerel,
1 Rue d'Amiens, 76038 Rouen, France
Table of Contents
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Segmentation of CT Thoracic Organs by Multi-resolution VB-nets
Miaofei Han,
Guang Yao,
Wenhai Zhang,
Guangrui Mu,
Yiqiang Zhan,
Xiang Zhou,
Yaozong Gao
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Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images
Tao He,
Jixiang Guo,
Jianyong Wang,
Xiuyuan Xu,
Zhang Yi
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A Cascaded Two-step Approach For Segmentation of Thoracic Organs
Sekeun Kim,
Yeonggul Jang,
Kyunghoon Han,
Hackjoon Shim,
Hyuk-Jae Chang
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Two-stage Network for OAR segmentation
Pan Chen,
Chenghai Xu,
Xiaoying Li,
Yingying Ma,
Fenglong Sun
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Segmentation of Thoracic Organs at Risk in CT Images Combining Coarse and Fine Network
Li Zhang,
Lishen Wang,
Yijie Huang,
Huai Chen
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Dilated U-Net based Segmentation of Organs at Risk in Thoracic CT Images
Manoj Satya Kumar Gali,
Neerja Garg,
Srikanth Vasamsetti
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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
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Segthor: Segmentation of Thoracic Organs at Risk in CT Images
Vladimir Kondratenko,
Dmitry Denisenko,
Artem Pimkin,
Mikhail Belyaev
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Segmentation of Thoracic Organs Using Pixel Shuffle
Dmitry Lachinov
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Multi-organ Segmentation using Simplified Dense V-net with Post-processing
Ming Feng,
Weiquan Huang,
Yin Wang,
Yuxia Xie
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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
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A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
Sulaiman Vesal,
Nishant Ravikumar,
Andreas Maier
2019-04-19: submitted by Caroline Petitjean,
metadata incl. bibliographic data published under Creative Commons CC0
2019-04-23: published on CEUR-WS.org
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