Ebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings. Part III
Author: Collins D. Louis, Descoteaux Maxime, Duchesne Simon, Franz Alfred, Jannin Pierre, Maier-Hein Lena
- Genre: Computers // Lectures; monographs
- Tags: Diagnostic imaging -- Data processing -- Congresses., Computer-assisted surgery -- Congresses., Computer-assisted surgery., Diagnostic imaging -- Data processing., Computers -- Computer Graphics., Image processing., Computer Science., Image Processing and Computer Vision.
- Series: Springer Lecture notes in computer science 10435
- Year: 2017
- Publisher: Springer
- City: Québec, Québec
- Language: English
- pdf
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 inQuebec 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 Read more...
Abstract: 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 inQuebec 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