An experiment in the reporting of observed features of cancer images to aid in the development of an Image Description Language for pathologists Online publication date: Fri, 08-Feb-2013
by Jon Plumley, Richard Gatward, Alison Todman, Raouf N.G. Naguib, Mark K. Bennett
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 3, No. 3/4, 2010
Abstract: Variations have been shown to exist in the diagnosis of cancers by different pathologists. We report on an experiment in observation of cancer features. The accuracy of the participants diagnoses showed an expected improvement when plotted against experience. When the number of features reported was plotted against experience the result showed a variation by specialists and those with less experience. The results have provided a platform for the lexicon required in the development of an Image Description Language (IDL) for pathologists to aid in reducing the variations in reporting.
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