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Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual inspection is time consuming, making it challenging to use for image data mining. Here we show that convolutional neural networks (CNNs) can be systematically applied across cancer types, enabling com...
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| 出版年: | Nat Commun |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7733499/ https://ncbi.nlm.nih.gov/pubmed/33311458 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-20030-5 |
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