Skip to main content
SpringerLink
Log in
Book cover

Medical Computer Vision

Recognition Techniques and Applications in Medical Imaging

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Bjoern Menze

    1. Computer Science and Artificial Intelligence Laboratory, MIT, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Georg Langs

    1. CSAIL - Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Zhuowen Tu

    1. Laboratory of Neuroimaging, University of California, Los Angeles

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Antonio Criminisi

    1. Machine Learning and Perception Group, Microsoft Research Cambridge, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Up to date results
  • Fast conference proceedings
  • State-of-the-art report

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6533)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MCV 2010.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (21 papers)

  1. Front Matter

    Download chapter PDF

  2. Shape, Geometry and Registration

    1. Conditional Point Distribution Models

      • Kersten Petersen, Mads Nielsen, Sami S. Brandt
      Pages 1-10

    2. Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces

      • Sajjad Baloch, Alexander Zouhar, Tong Fang
      Pages 11-20

    3. Iterative Training of Discriminative Models for the Generalized Hough Transform

      • Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose et al.
      Pages 21-30

    4. Topology Noise Removal for Curve and Surface Evolution

      • Chao Chen, Daniel Freedman
      Pages 31-42

    5. Exploring Cortical Folding Pattern Variability Using Local Image Features

      • Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel
      Pages 43-53

  3. Markov Models for Image Reconstruction and Analysis

    1. Surgical Phases Detection from Microscope Videos by Combining SVM and HMM

      • Florent Lalys, Laurent Riffaud, Xavier Morandi, Pierre Jannin
      Pages 54-62

    2. Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment

      • Dongfeng Han, John Bayouth, Sudershan Bhatia, Milan Sonka, Xiaodong Wu
      Pages 63-73

    3. Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations

      • Frederik O. Kaster, Bjoern H. Menze, Marc-André Weber, Fred A. Hamprecht
      Pages 74-85

  4. Automatic Anatomy Localization via Classification

    1. Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization

      • René Donner, Erich Birngruber, Helmut Steiner, Horst Bischof, Georg Langs
      Pages 86-95

    2. Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning

      • B. Michael Kelm, S. Kevin Zhou, Michael Suehling, Yefeng Zheng, Michael Wels, Dorin Comaniciu
      Pages 96-105

    3. Regression Forests for Efficient Anatomy Detection and Localization in CT Studies

      • Antonio Criminisi, Jamie Shotton, Duncan Robertson, Ender Konukoglu
      Pages 106-117

    4. Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography

      • Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff
      Pages 118-129

    5. Learning Adaptive and Sparse Representations of Medical Images

      • Alessandra Staglianò, Gabriele Chiusano, Curzio Basso, Matteo Santoro
      Pages 130-140

    6. Feature Selection for SVM-Based Vascular Anomaly Detection

      • Maria A. Zuluaga, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz
      Pages 141-152

  5. Texture Analysis

    1. Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung

      • Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne
      Pages 153-163

    2. Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)

      • Peter Maday, Parmeshwar Khurd, Lance Ladic, Mitchell Schnall, Mark Rosen, Christos Davatzikos et al.
      Pages 164-173

    3. A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex

      • Maxime Boucher, Alan Evans, Kaleem Siddiqi
      Pages 174-183

    4. Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information

      • Annemie Ribbens, Frederik Maes, Dirk Vandermeulen, Paul Suetens
      Pages 184-194

  6. Segmentation

    1. Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction

      • Yi Gao, Allen Tannenbaum, Ron Kikinis
      Pages 195-203
Back to top

Other volumes

  1. Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images.

Editors and Affiliations

  • Computer Science and Artificial Intelligence Laboratory, MIT, USA

    Bjoern Menze

  • CSAIL - Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA

    Georg Langs

  • Laboratory of Neuroimaging, University of California, Los Angeles

    Zhuowen Tu

  • Machine Learning and Perception Group, Microsoft Research Cambridge, UK

    Antonio Criminisi

Bibliographic Information

  • Book Title: Medical Computer Vision

  • Book Subtitle: Recognition Techniques and Applications in Medical Imaging

  • Editors: Bjoern Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-18421-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Berlin Heidelberg 2011

  • Softcover ISBN: 978-3-642-18420-8Published: 25 January 2011

  • eBook ISBN: 978-3-642-18421-5Published: 02 February 2011

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 226

  • Number of Illustrations: 20 b/w illustrations, 80 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation