Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers / edited by Guoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li.

Format:

Book

Contributor:

Zheng, Guoyan, editor.

Belavy, Daniel, editor.

Cai, Yunliang, editor.

Li, Shuo (Astronomer), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11397.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11397

Language:

English

Subjects (All):

Optical data processing.

Medical informatics.

Computer networks.

Artificial intelligence.

Computer hardware.

Image Processing and Computer Vision.

Health Informatics.

Computer Communication Networks.

Artificial Intelligence.

Computer Hardware.

Local Subjects:

Image Processing and Computer Vision.

Health Informatics.

Computer Communication Networks.

Artificial Intelligence.

Computer Hardware.

Physical Description:

1 online resource (X, 181 pages) : 103 illustrations, 77 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging. .

Contents:

Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU

Predicting Scoliosis in DXA Scans Using Intermediate Representations

Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery

Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up

Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models

Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks

Intensity Standardization of Skeleton in Follow-up Whole-Body MRI

Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning

Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.

Other Format:

Printed edition:

ISBN:

978-3-030-13736-6

9783030137366

Access Restriction:

Restricted for use by site license.