Universal encoding of pan-cancer histology by deep texture representations.
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DOI: 10.1016/j.celrep.2022.110424
Abstract: Cancer histological images contain rich biological and clinical information, but quantitative representation can be problematic and has prevented the direct comparison and accumulation of large-scale datasets. Here, we show successful universal encoding of cancer histology… read more here.
Keywords: cancer; histology deep; histology; universal encoding ... See more keywords