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Authors: Ianisse Quinzán Suárez 1 ; Pedro Latorre Carmona 1 ; Pedro García Sevilla 1 ; Enrique Boldo 2 ; Filiberto Pla 1 ; Vicente García Jiménez 1 ; Rafael Lozoya 2 and Guillermo Pérez de Lucía 2

Affiliations: 1 Jaume I University, Spain ; 2 Hospital Provincial de Castellón, Spain

Keyword(s): Melanoma detection, Multispectral images, Support Vector Machines, Class imbalance, SMOTE.

Abstract: The early analysis of pigmented skin lesions is important for clinicians in order to recognize malignant melanoma. However, it is difficult to differentiate it from benign skin lesions due to their similarity based on their appearance. Since melanoma has a tendency to grow inside the skin and the depth of penetration of light into the skin is wavelength dependent, a multispectral imaging acquisition and processing approach to classify pigmented lesions as melanoma seems appropriate. This paper presents a method to diagnose melanoma lesions over a group of 26 samples acquired with a multispectral system, where 6 of them are melanomas, and the other 20 are other types of pigmented lesions. A Leave-One-Out strategy is used to create the training/test set. The classification imbalance problem inherent to this dataset is alleviated using a SMOTE technique. The random component of the SMOTE methodology is dealt with running it 25 times and a Qualified Majority Voting (QMV) scheme is used t o do the final classification, using SVM. Results show this strategy allows to obtain competitive classification quality results. (More)

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Paper citation in several formats:
Quinzán Suárez, I.; Latorre Carmona, P.; García Sevilla, P.; Boldo, E.; Pla, F.; García Jiménez, V.; Lozoya, R. and Pérez de Lucía, G. (2012). NON-INVASIVE MELANOMA DIAGNOSIS USING MULTISPECTRAL IMAGING. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) - Volume 2: PRARSHIA; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 386-393. DOI: 10.5220/0003843803860393

@conference{prarshia12,
author={Ianisse {Quinzán Suárez}. and Pedro {Latorre Carmona}. and Pedro {García Sevilla}. and Enrique Boldo. and Filiberto Pla. and Vicente {García Jiménez}. and Rafael Lozoya. and Guillermo {Pérez de Lucía}.},
title={NON-INVASIVE MELANOMA DIAGNOSIS USING MULTISPECTRAL IMAGING},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) - Volume 2: PRARSHIA},
year={2012},
pages={386-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003843803860393},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) - Volume 2: PRARSHIA
TI - NON-INVASIVE MELANOMA DIAGNOSIS USING MULTISPECTRAL IMAGING
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Quinzán Suárez, I.
AU - Latorre Carmona, P.
AU - García Sevilla, P.
AU - Boldo, E.
AU - Pla, F.
AU - García Jiménez, V.
AU - Lozoya, R.
AU - Pérez de Lucía, G.
PY - 2012
SP - 386
EP - 393
DO - 10.5220/0003843803860393
PB - SciTePress

- Science and Technology Publications, Lda.
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