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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I / edited by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells.
SpringerLink Books Computer Science (2011-2024) Available online
SpringerLink Books Computer Science (2011-2024)- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 9900
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9900
- Language:
- English
- Subjects (All):
- Computer vision.
- Pattern recognition systems.
- Computer graphics.
- Artificial intelligence.
- Radiology.
- Medical informatics.
- Computer Vision.
- Automated Pattern Recognition.
- Computer Graphics.
- Artificial Intelligence.
- Health Informatics.
- Local Subjects:
- Computer Vision.
- Automated Pattern Recognition.
- Computer Graphics.
- Artificial Intelligence.
- Radiology.
- Health Informatics.
- Physical Description:
- 1 online resource (XLIV, 681 pages) : 273 illustrations, 269 illustrations in color.
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis; brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
- Contents:
- Brain analysis
- Brain analysis - connectivity
- Brain analysis - cortical morphology
- Alzheimer disease
- Surgical guidance and tracking
- Computer aided interventions
- Ultrasound image analysis
- cancer image analysis.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-46720-7
- 9783319467207
- Access Restriction:
- Restricted for use by site license.
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