Title :
Melanoma important features selection using random forest approach
Author :
Paja, Wieslaw ; Wrzesien, M.
Author_Institution :
Univ. of Inf. Technol. & Manage., Rzeszow, Poland
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;
Conference_Titel :
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location :
Sopot
Print_ISBN :
978-1-4673-5635-0
DOI :
10.1109/HSI.2013.6577857