DocumentCode :
629757
Title :
Melanoma important features selection using random forest approach
Author :
Paja, Wieslaw ; Wrzesien, M.
Author_Institution :
Univ. of Inf. Technol. & Manage., Rzeszow, Poland
fYear :
2013
fDate :
6-8 June 2013
Firstpage :
415
Lastpage :
418
Abstract :
The main goal of this paper is to present results of application of feature selection method to find the most important or all important features that characterize melanocytic spots on the skin. Results gathered during research focus on about three from thirteen descriptive attributes that have the highest importance parameter and could be treated as the best and simple set of descriptive features.
Keywords :
cancer; feature extraction; medical image processing; skin; Melanoma important feature selection; descriptive attributes; descriptive features; melanocytic spots; random forest approach; Cancer; Diseases; Lesions; Malignant tumors; Pigments; Skin; Feature selection; classification; melanoma diagnosing; random forest;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location :
Sopot
ISSN :
2158-2246
Print_ISBN :
978-1-4673-5635-0
Type :
conf
DOI :
10.1109/HSI.2013.6577857
Filename :
6577857
Link To Document :
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