Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11070)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention
Conference proceedings info: MICCAI 2018.
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Table of contents (100 papers)
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Front Matter
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Image Quality and Artefacts
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Front Matter
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Image Reconstruction Methods
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Front Matter
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Other Volumes
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
About this book
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.
The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections:
Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods.
Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications.
Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.
Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Keywords
- Artificial intelligence
- Classification
- Computer vision
- Estimation
- Image analysis
- Image enhancement
- Image processing
- Image quality
- Image reconstruction
- Image segmentation
- Imaging systems
- Medical images
- Medical imaging
- Neural networks
- Pattern recognition
- Reconstruction
- Segmentation methods
- Semantics
- Signal processing
- Support Vector Machines (SVM)
Editors and Affiliations
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University of Leeds, Leeds, UK
Alejandro F. Frangi
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King’s College London, London, UK
Julia A. Schnabel
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University of Pennsylvania, Philadelphia, USA
Christos Davatzikos
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Universidad de Valladolid, Valladolid, Spain
Carlos Alberola-López
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Queen’s University, Kingston, Canada
Gabor Fichtinger
Bibliographic Information
Book Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
Book Subtitle: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I
Editors: Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-00928-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-00927-4Published: 14 September 2018
eBook ISBN: 978-3-030-00928-1Published: 13 September 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXI, 894
Number of Illustrations: 46 b/w illustrations, 328 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Health Informatics, Computer Communication Networks