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Deep Learning and Convolutional Neural Networks for Medical Image Computing pp 11–32Cite as

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

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Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

Computerized algorithms and solutions in processing and diagnosis mammography X-ray, cardiovascular CT/MRI scans, and microscopy image play an important role in disease detection and computer-aided decision-making. Machine learning techniques have powered many aspects in medical investigations and clinical practice. Recently, deep learning is emerging a leading machine learning tool in computer vision and begins attracting considerable attentions in medical imaging. In this chapter, we provide a snapshot of this fast growing field specifically for mammography, cardiovascular, and microscopy image analysis . We briefly explain the popular deep neural networks and summarize current deep learning achievements in various tasks such as detection, segmentation, and classification in these heterogeneous imaging modalities. In addition, we discuss the challenges and the potential future trends for ongoing work.

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Authors and Affiliations

  1. Australian Centre for Visual Technologies, The University of Adelaide, Adelaide, SA, Australia

    Gustavo Carneiro

  2. Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, USA

    Yefeng Zheng

  3. Department of Electrical and Computer Engineering, J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611, USA

    Fuyong Xing & Lin Yang

Authors
  1. Gustavo Carneiro
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  2. Yefeng Zheng
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  3. Fuyong Xing
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  4. Lin Yang
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Corresponding author

Correspondence to Gustavo Carneiro .

Editor information

Editors and Affiliations

  1. NIH Clinical Center, Bethesda, Maryland, USA

    Le Lu

  2. Siemens Healthcare Technology Center, Princeton, New Jersey, USA

    Yefeng Zheng

  3. University of Adelaide, Adelaide, South Australia, Australia

    Gustavo Carneiro

  4. University of Florida, Gainesville, Florida, USA

    Lin Yang

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Carneiro, G., Zheng, Y., Xing, F., Yang, L. (2017). Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. In: Lu, L., Zheng, Y., Carneiro, G., Yang, L. (eds) Deep Learning and Convolutional Neural Networks for Medical Image Computing. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-42999-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-42999-1_2

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