The classification of skin lesions for melanoma detection
Hugues Talbot, hugues.talbot@cmis.csiro.au
CMIS,
Tuesday 14 July
Abstract
The image analysis project of CMIS, in collaboration with
Polartechnics Ltd. and Sydney's Royal Prince Alfred Hospital, has been
working for some time already on the classification of skin lesions. The
goal is to be able to detect melanoma (the deadliest form of skin
cancer) in vivo, with a cheap instrument based on automated image
analysis and some form of artificial intelligence, with an accuracy at
least as high as a skin specialist.
In this talk we will describe how and were we have put the intelligence
in the current prototype system.
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