Machine Learning in the Nuclear Medicine: Part 1-Introduction
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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.
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Carlos F. Uribe, Sulantha Mathotaarachchi, Vincent C. Gaudet, Kenneth C. Smith, Pedro Rosa-Neto, Francois Benard, Sandra E. Black, Katherine Zukotynski (2019). Machine Learning in the Nuclear Medicine: Part 1-Introduction. UWSpace. http://hdl.handle.net/10012/20085