Real-time acquisition of quality verified nonstandardized color images for skin lesions risk assessment - A preliminary study

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...

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Bibliographic Details
Published in2014 18th International Conference on System Theory, Control and Computing (ICSTCC) pp. 199 - 204
Main Authors Udrea, Andreea, Lupu, Ciprian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Indexes
Lesions
Malignant tumors
nonstandardized color images
real-time application
Real-time systems
Risk management
Shape
shape and texture analysis
Skin
skin lesions risk assessment
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DOI10.1109/ICSTCC.2014.6982415

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Summary: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.
DOI:10.1109/ICSTCC.2014.6982415