Cargando…
Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871847/ https://www.ncbi.nlm.nih.gov/pubmed/29872706 http://dx.doi.org/10.1038/s41698-017-0022-1 |
_version_ | 1783309710131200000 |
---|---|
author | Djuric, Ugljesa Zadeh, Gelareh Aldape, Kenneth Diamandis, Phedias |
author_facet | Djuric, Ugljesa Zadeh, Gelareh Aldape, Kenneth Diamandis, Phedias |
author_sort | Djuric, Ugljesa |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-5871847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58718472018-06-05 Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care Djuric, Ugljesa Zadeh, Gelareh Aldape, Kenneth Diamandis, Phedias NPJ Precis Oncol Comment Nature Publishing Group UK 2017-06-19 /pmc/articles/PMC5871847/ /pubmed/29872706 http://dx.doi.org/10.1038/s41698-017-0022-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Comment Djuric, Ugljesa Zadeh, Gelareh Aldape, Kenneth Diamandis, Phedias Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
title | Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
title_full | Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
title_fullStr | Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
title_full_unstemmed | Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
title_short | Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
title_sort | precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871847/ https://www.ncbi.nlm.nih.gov/pubmed/29872706 http://dx.doi.org/10.1038/s41698-017-0022-1 |
work_keys_str_mv | AT djuricugljesa precisionhistologyhowdeeplearningispoisedtorevitalizehistomorphologyforpersonalizedcancercare AT zadehgelareh precisionhistologyhowdeeplearningispoisedtorevitalizehistomorphologyforpersonalizedcancercare AT aldapekenneth precisionhistologyhowdeeplearningispoisedtorevitalizehistomorphologyforpersonalizedcancercare AT diamandisphedias precisionhistologyhowdeeplearningispoisedtorevitalizehistomorphologyforpersonalizedcancercare |