ISBI 2007: IEEE 2007 International Symposium on Biomedical Imaging, April 12-15, 2007, Washington, D.C., U.S.A.

TUT-4: Feature Extraction and Classification

Date: Thursday, April 12
08:00 - 12:30

Presented by

Bram van Ginneken, University Medical Center Utrecht

Abstract

This tutorial will explain feature extraction and classification techniques that form the basics of computer-aided detection and computer-aided diagnosis systems. This is one of the most rapidly expanding areas in medical image analysis. Well-known application areas are mammography, chest imaging and virtual colonoscopy and many other applications are emerging. Despite the large differences in image data, these systems employ a common set of techniques from image processing and pattern recognition and machine learning. These techniques are the topic of the tutorial and are illustrated with a large number of recent practical applications.

  • Part I: Basics (2 hours)
    1. Introduction: Computer-aided diagnosis, historical overview, the data explosion, review of state-of-the-art systems
    2. The processing pipe-line of CAD systems: preprocessing, segmentation, candidate search, feature extraction, classification, post-processing
    3. Feature extraction: filter banks, invariants, scale space techniques, shape descriptors, voting methods
    4. Classification: Bayes theory, decision boundaries, linear and quadratic classifier, non-parametric classifiers, feature selection techniques
    5. Evaluation: ROC, FROC, LROC, common pitfalls and the different guises of overtraining
  • Part II: Advanced topics (2 hours)
    1. Advanced feature extraction techniques, supervised filters, statistical shape and appearance models
    2. Advanced classification techniques: margin classifiers, (non-linear) dimension reduction, active learning, multi-stage classification
    3. Open problems in computer-aided diagnosis

Speaker Biography

Bram van Ginneken studied Physics at the Eindhoven University of Technology and at Utrecht University. In March 2001, he obtained his Ph.D. at the Image Sciences Institute on Computer-Aided Diagnosis in Chest Radiography. Ever since, he has been leading the Computer-Aided Diagnosis group at the Image Sciences Institute. He has (co-)authored over 30 journal publications. He is Associate Editor of IEEE Transactions on Medical Imaging and member of the program committee of the Image Processing and the Computer-Aided Diagnosis conferences of SPIE Medical Imaging.


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