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. Here the authors show that convolutional neural networks can be systematically applied across cancer types, enabling comparisons to reveal shared spatial behaviors.

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Autores principales:	Javad Noorbakhsh, Saman Farahmand, Ali Foroughi pour, Sandeep Namburi, Dennis Caruana, David Rimm, Mohammad Soltanieh-ha, Kourosh Zarringhalam, Jeffrey H. Chuang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a6994645c7684614b0dfec100ac6d249
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spelling	oai:doaj.org-article:a6994645c7684614b0dfec100ac6d2492021-12-02T10:48:11ZDeep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images10.1038/s41467-020-20030-52041-1723https://doaj.org/article/a6994645c7684614b0dfec100ac6d2492020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20030-5https://doaj.org/toc/2041-1723Histopathological images are a rich but incompletely explored data type for studying cancer. Here the authors show that convolutional neural networks can be systematically applied across cancer types, enabling comparisons to reveal shared spatial behaviors.Javad NoorbakhshSaman FarahmandAli Foroughi pourSandeep NamburiDennis CaruanaDavid RimmMohammad Soltanieh-haKourosh ZarringhalamJeffrey H. ChuangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Javad Noorbakhsh Saman Farahmand Ali Foroughi pour Sandeep Namburi Dennis Caruana David Rimm Mohammad Soltanieh-ha Kourosh Zarringhalam Jeffrey H. Chuang Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
description	Histopathological images are a rich but incompletely explored data type for studying cancer. Here the authors show that convolutional neural networks can be systematically applied across cancer types, enabling comparisons to reveal shared spatial behaviors.
format	article
author	Javad Noorbakhsh Saman Farahmand Ali Foroughi pour Sandeep Namburi Dennis Caruana David Rimm Mohammad Soltanieh-ha Kourosh Zarringhalam Jeffrey H. Chuang
author_facet	Javad Noorbakhsh Saman Farahmand Ali Foroughi pour Sandeep Namburi Dennis Caruana David Rimm Mohammad Soltanieh-ha Kourosh Zarringhalam Jeffrey H. Chuang
author_sort	Javad Noorbakhsh
title	Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
title_short	Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
title_full	Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
title_fullStr	Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
title_full_unstemmed	Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
title_sort	deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/a6994645c7684614b0dfec100ac6d249
work_keys_str_mv	AT javadnoorbakhsh deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT samanfarahmand deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT aliforoughipour deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT sandeepnamburi deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT denniscaruana deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT davidrimm deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT mohammadsoltaniehha deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT kouroshzarringhalam deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages AT jeffreyhchuang deeplearningbasedcrossclassificationsrevealconservedspatialbehaviorswithintumorhistologicalimages
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Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

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