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Published in: Journal of Digital Imaging 3/2018

Open Access 01-06-2018

Hello World Deep Learning in Medical Imaging

Authors: Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul Nagy, George Shih

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2018

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Abstract

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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Metadata
Title
Hello World Deep Learning in Medical Imaging
Authors
Paras Lakhani
Daniel L. Gray
Carl R. Pett
Paul Nagy
George Shih
Publication date
01-06-2018
Publisher
Springer International Publishing
Published in
Journal of Imaging Informatics in Medicine / Issue 3/2018
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-018-0079-6

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