An Artificially Evolved Vision System for Segmenting Skin Lesion Images
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{roberts:2003:MICCAI,
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author = "Mark E. Roberts and Ela Claridge",
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title = "An Artificially Evolved Vision System for Segmenting
Skin Lesion Images",
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booktitle = "Proceedings of the 6th International Conference on
Medical Image Computing and Computer-Assisted
Intervention (MICCAI)",
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year = "2003",
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editor = "Randy E. Ellis and Terry M. Peters",
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volume = "2878",
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series = "LNCS",
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pages = "655--662",
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address = "Montreal, Canada",
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month = nov,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming,
segmentation",
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URL = "http://www.cs.bham.ac.uk/~mer/papers/miccai-2003.pdf",
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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