Biomedical image classification with random subwindows and decision trees

Marée, Raphaël; Geurts, Pierre; Piater, Justus; Wehenkel, Louis

doi:10.1007/11569541_23

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Biomedical image classification with random subwindows and decision trees

Marée, Raphaël; Geurts, Pierre; Piater, Justus et al.

2005 • In Computer Vision for Biomedical Image Applications

Peer reviewed

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https://hdl.handle.net/2268/654

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10.1007/11569541_23

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Abstract :

[en] In this paper, we address a problem of biomedical image classification that involves the automatic classification of x-ray images in 57 predefined classes with large intra-class variability. To achieve that goal, we apply and slightly adapt a recent generic method for image classification based on ensemble of decision trees and random subwindows. We obtain classification results close to the state of the art on a publicly available database of 10000 x-ray images. We also provide some clues to interpret the classification of each image in terms of subwindow relevance.

Disciplines :

Computer science
Human health sciences: Multidisciplinary, general & others

Author, co-author :

Marée, Raphaël ; Université de Liège - ULiège > GIGA-Management : Plateforme bioinformatique

Geurts, Pierre ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Piater, Justus ; Université de Liège - ULiège > Electrical Engineering and Computer Science > INTELSIG

Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Language :

English

Title :

Biomedical image classification with random subwindows and decision trees

Publication date :

2005

Event name :

Computer Vision for Biomedical Image Applications

Event place :

Beijing, China

Audience :

International

Main work title :

Computer Vision for Biomedical Image Applications

Publisher :

Springer-Verlag Berlin, Berlin, Germany

ISBN/EAN :

978-3-540-29411-5

Collection name :

Lecture Notes in Computer Science 3765

Pages :

220-229

Peer reviewed :

Peer reviewed

Available on ORBi :

since 07 October 2008

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