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

Lucia Ballerini, Robert B. Fisher, Ben Aldridge, Jonathan Rees

    Research output: Contribution to conferencePaper

    21 Citations (Scopus)

    Abstract

    This paper presents an algorithm for classification of nonmelanoma
    skin lesions based on a novel hierarchical KNearest 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 features are extracted from skin lesions. The accuracy of the proposed hierarchical scheme is higher than 93% in discriminating cancer and pre-malignant lesions from benign lesions, and it reaches an overall classification accuracy of 74% over five common classes of skin lesions, including two non-melanoma cancer types. This is the most
    extensive published result on non-melanoma skin cancer classification from colour images acquired by a standard camera (non-dermoscopy).
    Original languageEnglish
    Pages358-361
    Number of pages4
    DOIs
    Publication statusPublished - 2012
    Event9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Centre de Convencions Internacional de Barcelona, Barcelona, Spain
    Duration: 2 May 20125 May 2012

    Conference

    Conference9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
    Abbreviated titleISBI 2012
    CountrySpain
    CityBarcelona
    Period2/05/125/05/12

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  • Research Output

    • 21 Citations
    • 1 Conference contribution

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

    Ballerini, L., Fisher, R. B., Aldridge, B. & Rees, J., 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Piscataway: IEEE, p. 358-361 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 21 Citations (Scopus)

    Activities

    • 1 Participation in conference

    9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

    Lucia Ballerini (Participant)

    2 May 20125 May 2012

    Activity: Participating in or organising an event typesParticipation in conference

    Cite this

    Ballerini, L., Fisher, R. B., Aldridge, B., & Rees, J. (2012). Non-melanoma skin lesion classification using colour image data in a hierarchical K-NN classifier. 358-361 . Paper presented at 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, Spain. https://doi.org/10.1109/ISBI.2012.6235558