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Computer-Assisted and Robotic Endoscopy
Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
Paperback
Print on Demand | Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
Artikel-Nr:
9783319299648
Veröffentl:
2016
Einband:
Paperback
Erscheinungsdatum:
20.02.2016
Seiten:
180
Autor:
Xiongbiao Luo
Gewicht:
283 g
Format:
235x155x11 mm
Serie:
9515, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Sprache:
Englisch
Beschreibung:
This book constitutes the thoroughly refereedpost-conference proceedings of the Second International Workshop on ComputerAssisted and Robotic Endoscopy, CARE 2015, held in conjunction with MICCAI2015, in Munich, Germany, in October 2015.
The 15 revised full papers were carefully selected out of20 initial submissions and focus on recent technical advances associated withcomputer vision; graphics; robotics and medical imaging; external trackingsystems; medical device control systems; information processing techniques;endoscopy; planning and simulation.
Includes supplementary material: sn.pub/extras
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.