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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Detalles Bibliográficos
Autores principales: Noorbakhsh, Javad, Farahmand, Saman, Foroughi pour, Ali, Namburi, Sandeep, Caruana, Dennis, Rimm, David, Soltanieh-ha, Mohammad, Zarringhalam, Kourosh, Chuang, Jeffrey H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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