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Or 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis: First Internat 2018 Edition
Contributor(s): Stoyanov, Danail (Editor), Taylor, Zeike (Editor), Sarikaya, Duygu (Editor)
ISBN: 303001200X     ISBN-13: 9783030012007
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback
Published: October 2018
Qty:
Additional Information
BISAC Categories:
- Computers | Computer Science
- Computers | Computer Graphics
- Computers | Networking - Hardware
Dewey: 006
Series: Lecture Notes in Computer Science
Physical Information: 0.72" H x 6.14" W x 9.21" (1.07 lbs) 323 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This book constitutes the refereed joint proceedings of the First International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and the First International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.
The 11 full papers presented at OR 2.0 2018, the 5 full papers presented at CARE 2018, the 8 full papers presented at CLIP 2018, and the 10 full papers presented at ISIC 2018 were carefully reviewed and selected.
The OR 2.0 papers cover a wide range of topics such as machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors.
The CARE papers cover topics to advance the field of computer-assisted and robotic endoscopy.
The CLIP papers cover topics to fill gaps between basic science and clinical applications.
The ISIC papers cover topics to facilitate knowledge dissemination in the field of skin image analysis, as well as to host a melanoma detection challenge, raising awareness and interest for these socially valuable tasks.