Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Springer International Publishing (Verlag)
978-3-319-67533-6 (ISBN)
This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.
The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
Erscheinungsdatum | 19.10.2017 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XVI, 166 p. 73 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 288 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Hardware | |
Technik | |
Schlagworte | Applications • Artificial Intelligence • classification • Classifiers • Computer Aided Design • computerized tomography • Computer Science • computer vision • conference proceedings • Image Analysis • image enhancement • Image Processing • image processing and computer vision • image reconstruction • Image Segmentation • Imaging Systems • Informatics • Learning Algorithms • Learning Systems • machine learning • Medical Imaging • Neural networks • Research • segmentation methods • supervised learning • Support Vector Machines (SVM) |
ISBN-10 | 3-319-67533-8 / 3319675338 |
ISBN-13 | 978-3-319-67533-6 / 9783319675336 |
Zustand | Neuware |
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