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A bird’s-eye view of deep learning in bioimage analysis
Deep learning of artificial neural networks has become the de facto standard approach to solving data analysis problems in virtually all fields of science and engineering. Also in biology and medicine, deep learning technologies are fundamentally transforming how we acquire, process, analyze, and in...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494605/ https://www.ncbi.nlm.nih.gov/pubmed/32994890 http://dx.doi.org/10.1016/j.csbj.2020.08.003 |
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author | Meijering, Erik |
author_facet | Meijering, Erik |
author_sort | Meijering, Erik |
collection | PubMed |
description | Deep learning of artificial neural networks has become the de facto standard approach to solving data analysis problems in virtually all fields of science and engineering. Also in biology and medicine, deep learning technologies are fundamentally transforming how we acquire, process, analyze, and interpret data, with potentially far-reaching consequences for healthcare. In this mini-review, we take a bird’s-eye view at the past, present, and future developments of deep learning, starting from science at large, to biomedical imaging, and bioimage analysis in particular. |
format | Online Article Text |
id | pubmed-7494605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-74946052020-09-28 A bird’s-eye view of deep learning in bioimage analysis Meijering, Erik Comput Struct Biotechnol J Review Article Deep learning of artificial neural networks has become the de facto standard approach to solving data analysis problems in virtually all fields of science and engineering. Also in biology and medicine, deep learning technologies are fundamentally transforming how we acquire, process, analyze, and interpret data, with potentially far-reaching consequences for healthcare. In this mini-review, we take a bird’s-eye view at the past, present, and future developments of deep learning, starting from science at large, to biomedical imaging, and bioimage analysis in particular. Research Network of Computational and Structural Biotechnology 2020-08-07 /pmc/articles/PMC7494605/ /pubmed/32994890 http://dx.doi.org/10.1016/j.csbj.2020.08.003 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Article Meijering, Erik A bird’s-eye view of deep learning in bioimage analysis |
title | A bird’s-eye view of deep learning in bioimage analysis |
title_full | A bird’s-eye view of deep learning in bioimage analysis |
title_fullStr | A bird’s-eye view of deep learning in bioimage analysis |
title_full_unstemmed | A bird’s-eye view of deep learning in bioimage analysis |
title_short | A bird’s-eye view of deep learning in bioimage analysis |
title_sort | bird’s-eye view of deep learning in bioimage analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494605/ https://www.ncbi.nlm.nih.gov/pubmed/32994890 http://dx.doi.org/10.1016/j.csbj.2020.08.003 |
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