Non-melanoma skin lesion classification using colour image data in a hierarchical K-NN classifier

@article{Ballerini2012NonmelanomaSL,
  title={Non-melanoma skin lesion classification using colour image data in a hierarchical K-NN classifier},
  author={Lucia Ballerini and Robert B. Fisher and Ben Aldridge and Jonathan Rees},
  journal={2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)},
  year={2012},
  pages={358-361}
}
This paper presents an algorithm for classification of non-melanoma skin lesions based on a novel hierarchical K-Nearest Neighbors (K-NN) classifier. The K-NN classifier is simple, quick and effective. The hierarchical structure decomposes the classification task into a set of simpler problems, one at each node of the classification. Feature selection is embedded in the hierarchical framework that chooses the most relevant feature subsets at each node of the hierarchy. Colour and texture… CONTINUE READING
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