Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings

✍ Scribed by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li

Publisher: Springer International Publishing;Springer
Year: 2020
Tongue: English
Leaves: 129
Series: Lecture Notes in Computer Science 11963
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China. All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images.

✦ Table of Contents

Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks (Joeri Nicolaes, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati et al.)....Pages 3-14
Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline (Geoff Klein, Anne Martel, Arjun Sahgal, Cari Whyne, Michael Hardisty)....Pages 15-28
Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures (Malek Husseini, Anjany Sekuboyina, Amirhossein Bayat, Bjoern H. Menze, Maximilian Loeffler, Jan S. Kirschke)....Pages 29-38
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape (Amirhossein Bayat, Anjany Sekuboyina, Felix Hofmann, Malek El Husseini, Jan S. Kirschke, Bjoern H. Menze)....Pages 39-46
Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT (Huaqing Liu, Haoping Xiao, Lishu Luo, Chaobo Feng, Bangde Yin, Dongdong Wang et al.)....Pages 47-59
Front Matter ....Pages 61-61
Accurate Automated Keypoint Detections for Spinal Curvature Estimation (Kailin Chen, Cheng Peng, Yi Li, Dalong Cheng, Si Wei)....Pages 63-68
Seg4Reg Networks for Automated Spinal Curvature Estimation (Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng)....Pages 69-74
Automatic Spine Curvature Estimation by a Top-Down Approach (Shixuan Zhao, Bo Wang, Kaifu Yang, Yongjie Li)....Pages 75-80
Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression (Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal)....Pages 81-87
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks (Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Wiro Niessen et al.)....Pages 88-94
Automated Spinal Curvature Assessment from X-Ray Images Using Landmarks Estimation Network via Rotation Proposals (Rong Tao, Shangliang Xu, Haiping Wu, Cheng Zhang, Chuanfeng Lv)....Pages 95-100
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment (Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao)....Pages 101-106
Spinal Curve Guide Network (SCG-Net) for Accurate Automated Spinal Curvature Estimation (Shuxin Wang, Shaohui Huang, Liansheng Wang)....Pages 107-112
A Multi-task Learning Method for Direct Estimation of Spinal Curvature (Jiacheng Wang, Liansheng Wang, Changhua Liu)....Pages 113-118
Back Matter ....Pages 119-120

✦ Subjects

Computer Science; Image Processing and Computer Vision; Information Systems and Communication Service; Computers and Education; Computer Appl. in Social and Behavioral Sciences

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