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Proceedings Paper

A classification framework for lung tissue categorization
Author(s): Adrien Depeursinge; Jimison Iavindrasana; Asmâa Hidki; Gilles Cohen; Antoine Geissbuhler; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller
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Paper Abstract

We compare five common classifier families in their ability to categorize six lung tissue patterns in high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD) but also normal tissue. The evaluated classifiers are Naive Bayes, k-Nearest Neighbor (k-NN), J48 decision trees, Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM). The dataset used contains 843 regions of interest (ROI) of healthy and five pathologic lung tissue patterns identified by two radiologists at the University Hospitals of Geneva. Correlation of the feature space composed of 39 texture attributes is studied. A grid search for optimal parameters is carried out for each classifier family. Two complementary metrics are used to characterize the performances of classification. Those are based on McNemar's statistical tests and global accuracy. SVM reached best values for each metric and allowed a mean correct prediction rate of 87.9% with high class-specific precision on testing sets of 423 ROIs.

Paper Details

Date Published: 11 March 2008
PDF: 12 pages
Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 69190C (11 March 2008); doi: 10.1117/12.769190
Show Author Affiliations
Adrien Depeursinge, Univ. and Hospitals of Geneva (Switzerland)
Jimison Iavindrasana, Univ. and Hospitals of Geneva (Switzerland)
Asmâa Hidki, Univ. and Hospitals of Geneva (Switzerland)
Gilles Cohen, Univ. and Hospitals of Geneva (Switzerland)
Antoine Geissbuhler, Univ. and Hospitals of Geneva (Switzerland)
Alexandra Platon, Univ. and Hospitals of Geneva (Switzerland)
Pierre-Alexandre Poletti, Univ. and Hospitals of Geneva (Switzerland)
Henning Müller, Univ. and Hospitals of Geneva (Switzerland)
Univ. of Applied Sciences Sierre (Switzerland)


Published in SPIE Proceedings Vol. 6919:
Medical Imaging 2008: PACS and Imaging Informatics
Katherine P. Andriole; Khan M. Siddiqui, Editor(s)

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