Computer-Assisted and Robotic Endoscopy Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers /

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 15 revised full papers were carefully selected out of 2...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Luo, Xiongbiao (Editor), Reichl, Tobias (Editor), Reiter, Austin (Editor), Mariottini, Gian-Luca (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Series:Lecture Notes in Computer Science, 9515
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Impact of lossy image compression on CAD support systems for colonoscopy
  • Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery
  • Instrument Tracking with Rigid Part Mixtures Model
  • A Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy
  • Tissue Shape Acquisition with a Hybrid Structured Light and Photometric Stereo Endoscopic System
  • Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image
  • A Surgical Simulation Robot with Haptics and Friction Compensation
  • A Real-Time Target Tracking Algorithm for a Robotic Flexible Endoscopy Platform
  • 2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing
  • Tracking accuracy evaluation of electromagnetic sensor-based colonoscope tracking method
  • Non Rigid Registration of 3D Images to Laparoscopic Video for Image Guided Surgery
  • A novel dual Level Sets competition model for colon region segmentation
  • Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Consistency
  • 3D Stable Spatio-temporal Polyp Localization in Colonoscopy Videos
  • Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. .