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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733499/ https://www.ncbi.nlm.nih.gov/pubmed/33311458 http://dx.doi.org/10.1038/s41467-020-20030-5 |