Using ensemble-based reasoning to help experts in melanoma diagnosis

Ruben Nicolas*, Elisabet Golobardes, Albert Fornells, Sonia Segura, Susana Puig, Cristina Carrera, Joseph Palou, Josep Malvehy

*Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

3 Citations (Scopus)

Abstract

New habits in solar exposure have caused an important increase of melanoma cancer during the last few years. However, recent studies demonstrate that early diagnosis drastically improves the treatment of this illness. This work presents a platform called MEDIBE that helps experts to diagnose melanoma. MEDIBE is an ensemble-based reasoning system that uses two of the most important non-invasive image techniques: Reflectance Confocal Microscopy and Dermatoscopy. The combination of both image source improves the reliability of diagnosis.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
PublisherIOS Press
Pages178-185
Number of pages8
Edition1
ISBN (Print)9781586039257
DOIs
Publication statusPublished - 2008

Publication series

NameFrontiers in Artificial Intelligence and Applications
Number1
Volume184
ISSN (Print)0922-6389

Keywords

  • Artificial Intelligence in Medical Applications
  • Basal Cell Carcinoma
  • Case-Based Reasoning
  • Dermatoscopy
  • Ensemble Methods
  • Melanoma
  • Reflectance Confocal Microscopy

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