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