An Artificially Evolved Vision System for Segmenting Skin Lesion Images

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@InProceedings{roberts:2003:MICCAI,
  author =       "Mark E. Roberts and Ela Claridge",
  title =        "An Artificially Evolved Vision System for Segmenting
                 Skin Lesion Images",
  booktitle =    "Proceedings of the 6th International Conference on
                 Medical Image Computing and Computer-Assisted
                 Intervention (MICCAI)",
  year =         "2003",
  editor =       "Randy E. Ellis and Terry M. Peters",
  volume =       "2878",
  series =       "LNCS",
  pages =        "655--662",
  address =      "Montreal, Canada",
  month =        nov,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming,
                 segmentation",
  URL =          "http://www.cs.bham.ac.uk/~mer/papers/miccai-2003.pdf",
  abstract =     "We present a novel technique where a medical image
                 segmentation system is evolved using genetic
                 programming. The evolved system was trained on just 8
                 images outlined by a clinical expert and generalised
                 well, achieving high performance rates on over 90
                 unseen test images (average sensitivity 97% , average
                 specificity 81%). This method learns by example and
                 produces fully automatic algorithms needing no human
                 interaction or parameter tuning, which although
                 complex, runs in approximately 4 seconds.",
}

Genetic Programming entries for Mark E Roberts Ela Claridge

Citations