Computer-Assisted and Robotic Endoscopy: First International Workshop, CARE 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014. Revised Selected Papers

✍ Scribed by Xiongbiao Luo, Tobias Reichl, Daniel Mirota, Timothy Soper (eds.)

Publisher: Springer International Publishing
Year: 2014
Tongue: English
Leaves: 141
Series: Lecture Notes in Computer Science 8899 Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book constitutes the refereed proceedings of the First International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 12 papers presented focus on recent technical advances associated with computer vision; graphics; robotics and medical imaging; external tracking systems; medical device control systems; information processing techniques; endoscopy; planning and simulation.

✦ Table of Contents

Front Matter....Pages I-X
Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis....Pages 1-10
Video-Specific SVMs for Colonoscopy Image Classification....Pages 11-21
Impact of Keypoint Detection on Graph-Based Characterization of Blood Vessels in Colonoscopy Videos....Pages 22-33
A Novel Approach on the Colon Wall Segmentation and Its’ Application....Pages 34-45
Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optimization....Pages 46-54
Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy....Pages 55-63
A Comparative Study of Ego-Motion Estimation Algorithms for Teleoperated Robotic Endoscopes....Pages 64-76
Image-Based Navigation for a Robotized Flexible Endoscope....Pages 77-87
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?....Pages 88-98
Algorithms for Automated Pointing of Cardiac Imaging Catheters....Pages 99-109
Endoscopic Sheffield Index for Unsupervised In Vivo Spectral Band Selection....Pages 110-120
Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration....Pages 121-130
Back Matter....Pages 131-131

✦ Subjects

Image Processing and Computer Vision; Pattern Recognition; Computer Graphics; Artificial Intelligence (incl. Robotics); Imaging / Radiology; Health Informatics

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