E-Book, Englisch, Band 9515, 164 Seiten, eBook
Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
E-Book, Englisch, Band 9515, 164 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-319-29965-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
