Abstract
PASI score is globally used to assess disease activity of psoriasis. However, it is relatively complicated and time-consuming, and the score will vary due to the inconsistent subjectivity between dermatologists. Therefore, an AI system capable of assessing psoriasis severity will be useful. We showed the progress of our AI research at SID meeting last year. Recently, we have established a novel AI platform for the evaluation of psoriasis severity by using deep convolutional neural networks. 705 psoriasis images of the trunk’s front and back were used in our research.
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