Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 1st ed. 2017 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordonnateurs : Descoteaux Maxime, Maier-Hein Lena, Franz Alfred, Jannin Pierre, Collins D. Louis, Duchesne Simon
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.Includes supplementary material: sn.pub/extras
Date de parution : 09-2017
Ouvrage de 713 p.
15.5x23.5 cm
Thèmes de Medical Image Computing and Computer Assisted... :
Mots-clés :
artificial intelligence; computer vision; estimation; face recognition; image analysis; image processing; image quality; image reconstruction; image registration; image segmentation; learning algorithms; machine learning; medical images; motion estimation; neural networks; probability; reconstruction; segmentation methods; signal processing; Support Vector Machines (SVM)