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Hello World Deep Learning in Medical Imaging

There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the availability of machine learning frameworks and libraries...

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Detalles Bibliográficos
Autores principales: Lakhani, Paras, Gray, Daniel L., Pett, Carl R., Nagy, Paul, Shih, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959832/
https://www.ncbi.nlm.nih.gov/pubmed/29725961
http://dx.doi.org/10.1007/s10278-018-0079-6
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author Lakhani, Paras
Gray, Daniel L.
Pett, Carl R.
Nagy, Paul
Shih, George
author_facet Lakhani, Paras
Gray, Daniel L.
Pett, Carl R.
Nagy, Paul
Shih, George
author_sort Lakhani, Paras
collection PubMed
description There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the availability of machine learning frameworks and libraries to simplify their use. In this tutorial, we provide a high-level overview of how to build a deep neural network for medical image classification, and provide code that can help those new to the field begin their informatics projects.
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spelling pubmed-59598322018-05-25 Hello World Deep Learning in Medical Imaging Lakhani, Paras Gray, Daniel L. Pett, Carl R. Nagy, Paul Shih, George J Digit Imaging Article There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the availability of machine learning frameworks and libraries to simplify their use. In this tutorial, we provide a high-level overview of how to build a deep neural network for medical image classification, and provide code that can help those new to the field begin their informatics projects. Springer International Publishing 2018-05-03 2018-06 /pmc/articles/PMC5959832/ /pubmed/29725961 http://dx.doi.org/10.1007/s10278-018-0079-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Article
Lakhani, Paras
Gray, Daniel L.
Pett, Carl R.
Nagy, Paul
Shih, George
Hello World Deep Learning in Medical Imaging
title Hello World Deep Learning in Medical Imaging
title_full Hello World Deep Learning in Medical Imaging
title_fullStr Hello World Deep Learning in Medical Imaging
title_full_unstemmed Hello World Deep Learning in Medical Imaging
title_short Hello World Deep Learning in Medical Imaging
title_sort hello world deep learning in medical imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959832/
https://www.ncbi.nlm.nih.gov/pubmed/29725961
http://dx.doi.org/10.1007/s10278-018-0079-6
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