DocumentCode
604408
Title
Feature selection of chromosome images
Author
Wenzhong Yan ; Dongming Li
Author_Institution
Dept. of Comput., North China Inst. of Sci. & Technol., Beijing, China
fYear
2012
fDate
29-31 Dec. 2012
Firstpage
677
Lastpage
680
Abstract
Feature selection is an important step in a computer-assisted chromosome detection and classification system. Different types of chromosome features can be investigated. These features are often joined together to produce an initial feature vector. A feature selection process is applied to remove the redundant features and generate a small and optimal feature vector. Then the chromosomes can be classified by this feature vector. This paper is focused on feature selection algorithms. Many algorithms are investigated. The principle and the realization of these algorithms are analyzed.
Keywords
cellular biophysics; feature extraction; image classification; medical computing; chromosome images; computer-assisted chromosome detection and classification system; feature selection algorithm; feature selection process; initial feature vector; optimal feature vector; redundant feature removal; chromosome; feature selection; frequency domain; space domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4673-2963-7
Type
conf
DOI
10.1109/ICCSNT.2012.6526025
Filename
6526025
Link To Document