Machine Learning in Nuclear Medicine: Part 1-Introduction

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 contributi...

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Veröffentlicht in:Journal of Nuclear Medicine 2019-04, Vol.60 (4), p.451-458
Hauptverfasser: Uribe, Carlos F, Mathotaarachchi, Sulantha, Gaudet, Vincent, Smith, Kenneth C, Rosa-Neto, Pedro, Bénard, François, Black, Sandra E, Zukotynski, Katherine
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0161-5505
1535-5667
2159-662X
DOI:10.2967/jnumed.118.223495