Ianisse Quinzán Suárez, Pedro Latorre Carmona, Pedro García Sevilla, Enrique Boldo, Filiberto Pla, Vicente García Jiménez, Rafael Lozoya, Guillermo Pérez de Lucía


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 to do the final classification, using SVM. Results show this strategy allows to obtain competitive classification quality results.


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Paper Citation

in Harvard Style

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 - Volume 1: PRARSHIA, (ICPRAM 2012) ISBN 978-989-8425-98-0, pages 386-393. DOI: 10.5220/0003843803860393

in Bibtex Style

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},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: PRARSHIA, (ICPRAM 2012)},

in EndNote Style

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: PRARSHIA, (ICPRAM 2012)
SN - 978-989-8425-98-0
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