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Imaging Infections pp 223–237Cite as

Image Analyses

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Abstract

Technological advancements in imaging have revolutionized noninvasive imaging, enabling improvements in diagnosis and prognosis of lung diseases in general and infectious lung diseases in particular. In parallel to these imaging developments, there have been important improvements in radiological image analysis techniques that provide accurate quantifiable information to help clinicians in their diagnostic decisions. Current quantitative image analysis approaches have some limitations, and novel image analysis techniques could provide automated and quantitative information that could be even more beneficial for the clinicians.

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Author information

Authors and Affiliations

  1. Center for Infectious Disease Imaging, U.S. National Institutes of Health, Bethesda, MD, USA

    Ziyue Xu, Georgios Z. Papadakis & Daniel J. Mollura

  2. Department of Radiology and Imaging Sciences, Clinical Center, U.S. National Institutes of Health, Bethesda, MD, USA

    Ziyue Xu, Georgios Z. Papadakis & Daniel J. Mollura

  3. Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA

    Ulas Bagci

Authors
  1. Ziyue Xu
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  2. Georgios Z. Papadakis
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  3. Daniel J. Mollura
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  4. Ulas Bagci
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Corresponding author

Correspondence to Ulas Bagci .

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Editors and Affiliations

  1. Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

    Sanjay K. Jain

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© 2017 Springer International Publishing AG

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Xu, Z., Papadakis, G.Z., Mollura, D.J., Bagci, U. (2017). Image Analyses. In: Jain, S. (eds) Imaging Infections . Springer, Cham. https://doi.org/10.1007/978-3-319-54592-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-54592-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54590-5

  • Online ISBN: 978-3-319-54592-9

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