Computational Methods and Clinical Applications for Spine Imaging 1st edition by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li ISBN 3319550497 9783319550497

 Computational Methods and Clinical Applications for Spine Imaging 1st edition by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li – Ebook PDF Instant Download/Delivery: 3319550497, 978-3319550497
Full download  Computational Methods and Clinical Applications for Spine Imaging 1st  Edition after payment

Product details:

ISBN 10:    3319550497
ISBN 13: 978-3319550497
Author:     Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li  

This book constitutes the refereed proceedings of the 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.

The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field – including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.

 Computational Methods and Clinical Applications for Spine Imaging 1st  Table of contents:

1. Segmentation

• Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae
• Machine Learning Based Bone Segmentation in Ultrasound
• Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior
• Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks

2. Localization

• Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting
• Global Localization and Orientation of the Cervical Spine in X-ray Images
• Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
• Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
• Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN

3. Computer Aided Diagnosis and Intervention

• Manual and Computer-Assisted Pedicle Screw Placement Plans: A Quantitative Comparison
• Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks
• Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration
• Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds

People also search for  Computational Methods and Clinical Applications for Spine Imaging 1st :

archives of computational methods in engineering
international journal of computational methods
journal of computational methods in sciences and engineering
mathematical and computational methods
applied computational methods

Tags:

Jianhua Yao,Tomaž Vrtovec,Guoyan Zheng,Alejandro Frangi,Ben Glocker,Shuo Li, Computational,Methods,Clinical,Applications,Spine,Imaging 1st