DocumentCode :
2498739
Title :
Features for cells and nuclei classification
Author :
Liu, Song ; Mundra, Piyushkumar A. ; Rajapakse, Jagath C.
Author_Institution :
Bioinf. Res. Centre, Nanyang Technol. Univ., Singapore, Singapore
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
6601
Lastpage :
6604
Abstract :
The performance of automated analysis of cellular images is heavily influenced by the features that characterize cells or cell nuclei. In this paper, an exhaustive set of features including morphological, topological, and texture features are explored to determine the optimal features for classification of cells and cell nuclei. The optimal subset of features are obtained using popular feature selection methods. The results of feature selection indicate that Zernike moment, Daubechies wavelets, and Gabor wavelets give the most important features for the classification of cells or cell nuclei in fluorescent microscopy images.
Keywords :
biomedical optical imaging; cellular biophysics; feature extraction; fluorescence spectroscopy; image classification; image texture; medical image processing; optical microscopy; wavelet transforms; Daubechies wavelets; Gabor wavelets; Zernike moment; automated cellular image analysis; cell classification features; cell nuclei classification features; feature selection methods; fluorescent microscopy images; morphological features; texture features; topological features; Accuracy; Bioinformatics; Feature extraction; Image edge detection; Microscopy; Redundancy; Support vector machines; Algorithms; Animals; Cell Biology; Cell Cycle; Cell Nucleus; Computational Biology; Cytological Techniques; HeLa Cells; Humans; Image Processing, Computer-Assisted; Microscopy, Fluorescence; Models, Statistical; Reproducibility of Results; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091628
Filename :
6091628
Link To Document :
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