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Outline of the method. First, unsupervised deep neural networks were applied to pathology images without being taught any medical knowledge. Next, the features (a series of numbers that humans cannot directly understand) acquired by AI were translated into high-resolution images that can be understood by humans and were automatically assigned optimum weights to make images interpretable.
Artificial intelligence (AI) technology developed by the RIKEN Center for Advanced Intelligence Project (AIP) in Japan has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors...
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