A method to detect potentially malignant skin lesions through image segmentation

Carlos A. Wilches, Óscar J. Perdomo, César A. Perdomo

Resultado de la investigación: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

Resumen

Melanoma is a form of skin cancer responsible for most cancer deaths. The detection of melanoma in an early stage is still a challenge with high importance. The aim of this paper was the design of a system to analyse the mole’s characteristics, based on the ABCDE criteria, for identifying potentially malignant skin lesions. The segmentation was based on Otzu thresholding, chain code and skeletonization methods were used to compute the main features: asymmetry, border, color and texture, for a future classification of skin lesions as normal or potentially malignant melanoma. The system was evaluated successfully using 92 images with 27 benign and 65 malignant melanomas from Dermatology Information System (DermIS).

Idioma originalInglés estadounidense
Páginas (desde-hasta)289-293
Número de páginas5
PublicaciónIFMBE Proceedings
Volumen68
N.º1
DOI
EstadoPublicada - 2019
EventoWorld Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, República Checa
Duración: jun 3 2018jun 8 2018

All Science Journal Classification (ASJC) codes

  • Bioingeniería
  • Ingeniería biomédica

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