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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=629757