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Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I / edited by Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 10433.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10433
- Language:
- English
- Subjects (All):
- Optical data processing.
- Artificial intelligence.
- Mathematical statistics.
- Pattern perception.
- Medical informatics.
- Image Processing and Computer Vision.
- Artificial Intelligence.
- Probability and Statistics in Computer Science.
- Pattern Recognition.
- Health Informatics.
- Local Subjects:
- Image Processing and Computer Vision.
- Artificial Intelligence.
- Probability and Statistics in Computer Science.
- Pattern Recognition.
- Health Informatics.
- Physical Description:
- 1 online resource (XLVI, 811 pages) : 343 illustrations.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-66182-7
- 9783319661827
- Access Restriction:
- Restricted for use by site license.
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