Article (Scientific journals)
Random subwindows and extremely randomized trees for image classification in cell biology
Marée, Raphaël; Geurts, Pierre; Wehenkel, Louis
2007In BMC Cell Biology, 8 (Suppl. 1)
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Keywords :
Bioinformatics; Image Classification; Computer Vision
Abstract :
[en] Background: With the improvements in biosensors and high-throughput image acquisition technologies, life science laboratories are able to perform an increasing number of experiments that involve the generation of a large amount of images at different imaging modalities/scales. It stresses the need for computer vision methods that automate image classification tasks. Results: We illustrate the potential of our image classification method in cell biology by evaluating it on four datasets of images related to protein distributions or subcellular localizations, and red-blood cell shapes. Accuracy results are quite good without any specific pre-processing neither domain knowledge incorporation. The method is implemented in Java and available upon request for evaluation and research purpose. Conclusion: Our method is directly applicable to any image classification problems. We foresee the use of this automatic approach as a baseline method and first try on various biological image classification problems.
Research center :
Giga-Systems Biology and Chemical Biology - ULiège
Disciplines :
Anatomy (cytology, histology, embryology...) & physiology
Computer science
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
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Random subwindows and extremely randomized trees for image classification in cell biology
Publication date :
2007
Journal title :
BMC Cell Biology
eISSN :
1471-2121
Publisher :
Biomed Central Ltd, London, United Kingdom
Volume :
8
Issue :
Suppl. 1
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FEDER - Fonds Européen de Développement Régional [BE]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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