Computer-Assisted and Robotic Endoscopy (eBook, PDF)

Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
Redaktion: Luo, Xiongbiao; Mariottini, Gian-Luca; Reiter, Austin; Reichl, Tobias

• Format: PDF

Produktbeschreibung

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 20 initial submissions and 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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 164
• Erscheinungstermin: 19. Februar 2016
• Englisch
• ISBN-13: 9783319299655
• Artikelnr.: 44615969

Inhaltsangabe

Impactof lossy image compression on CAD support systems for colonoscopy.- Pointingwith a One-Eyed Cursor for Supervised Training in Minimally Invasive RoboticSurgery.- Instrument Tracking with Rigid Part Mixtures Model.- A StereoscopicMotion Magnification in Minimally-Invasive Robotic Prostatectomy.- Tissue ShapeAcquisition with a Hybrid Structured Light and Photometric Stereo EndoscopicSystem.- Using Shading to Register an Intraoperative CT Scan to a LaparoscopicImage.- A Surgical Simulation Robot with Haptics and Friction Compensation.- AReal-Time Target Tracking Algorithm for a Robotic Flexible Endoscopy Platform.-2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic ImageProcessing.- Tracking accuracy evaluation of electromagnetic sensor-basedcolonoscope tracking method.- Non Rigid Registration of 3D Images toLaparoscopic Video for Image Guided Surgery.- A novel dual Level Setscompetition model for colon region segmentation.- Enhancing Normal-AbnormalClassification Accuracy in Colonoscopy Videos via Consistency.- 3D StableSpatio-temporal Polyp Localization in Colonoscopy Videos.- Uninformative FrameDetection in Colonoscopy Through Motion, Edge and Color Features.