Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I
Seiten
2017
|
1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-66181-0 (ISBN)
Springer International Publishing (Verlag)
978-3-319-66181-0 (ISBN)
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.
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.
| Erscheinungsdatum | 12.09.2017 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XLVI, 811 p. 343 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1275 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applications • Artificial Intelligence • Computer Science • computer vision • conference proceedings • estimation • face recognition • Image Analysis • Image Processing • image processing and computer vision • Image Quality • image reconstruction • Image Registration • Image Segmentation • Informatics • Learning Algorithms • machine learning • Medical Images • Motion Estimation • Neural networks • Probability • reconstruction • Research • segmentation methods • Signal Processing • Support Vector Machines (SVM) |
| ISBN-10 | 3-319-66181-7 / 3319661817 |
| ISBN-13 | 978-3-319-66181-0 / 9783319661810 |
| Zustand | Neuware |
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