Machine Learning in Nuclear Medicine: Part 1—Introduction Journal Articles uri icon

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abstract

  • This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when they can be helpful in nuclear medicine. Part 2 focuses on current contributions of ML to our field, addresses future expectations and limitations, and provides a critical appraisal of what ML can and cannot do.

authors

  • Uribe, Carlos F
  • Mathotaarachchi, Sulantha
  • Gaudet, Vincent
  • Smith, Kenneth C
  • Rosa-Neto, Pedro
  • Bénard, François
  • Black, Sandra E
  • Zukotynski, Katherine

publication date

  • April 2019