Hello World Deep Learning in Medical Imaging.

Journal: Journal of digital imaging
Published Date:

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.

Authors

  • Paras Lakhani
    Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Jefferson Medical College, 132 S 10th St, Philadelphia, PA 19107.
  • Daniel L Gray
    Sidney Kimmel Jefferson Medical College, Philadelphia, PA, USA.
  • Carl R Pett
    Sidney Kimmel Jefferson Medical College, Philadelphia, PA, USA.
  • Paul Nagy
    Department of Radiology, Johns Hopkins Medical Institute, Baltimore, Maryland.
  • George Shih