DocumentCode :
185259
Title :
Real-time acquisition of quality verified nonstandardized color images for skin lesions risk assessment — A preliminary study
Author :
Udrea, Andreea ; Lupu, Ciprian
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2014
fDate :
17-19 Oct. 2014
Firstpage :
199
Lastpage :
204
Abstract :
Detection of melanoma in early stages is critical in terms of life expectancy of the patient and, also, in terms of treatment costs. In this context, we investigate the feasibility of implementing an algorithm that uses nonstandardized color images of skin lesions for risk assessment. In this paper we present a methodology for real-time acquisition of quality verified images using smartphones. We also test a series of shape and texture parameters to determine their relevance in the context of providing an accurate risk profile for an analyzed lesion. Our conclusion is that risk assessment with high accuracy is possible even when using nonstandardized color images taken with a mobile device (smartphone) camera.
Keywords :
biomedical equipment; biomedical optical imaging; cancer; image colour analysis; image sensors; image texture; medical image processing; risk management; skin; smart phones; accurate risk profile; camera; life expectancy; melanoma detection; mobile device; quality verified nonstandardized color images; real-time acquisition; shape parameters; skin lesions risk assessment; smartphones; texture parameters; Indexes; Lesions; Malignant tumors; Real-time systems; Risk management; Shape; Skin; nonstandardized color images; real-time application; shape and texture analysis; skin lesions risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2014 18th International Conference
Conference_Location :
Sinaia
Type :
conf
DOI :
10.1109/ICSTCC.2014.6982415
Filename :
6982415
Link To Document :
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