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J Nucl Med. 2019 Feb 7. pii: jnumed.118.223495. doi: 10.2967/jnumed.118.223495. [Epub ahead of print]

Part 1: Introduction to Machine Learning in the Nuclear Medicine Context.

Author information

1
British Columbia Cancer Agency, Canada.
2
McGill University, Canada.
3
University of Waterloo.
4
University of Toronto.
5
Sunnybrook Health Sciences Centre.
6
McMaster University, Canada.

Abstract

This article, the first in a two-part series, provides an introduction to machine learning in a nuclear medicine context. Part I in this series addresses the history of machine learning and describes common algorithms with illustrations of when these algorithms can be helpful in nuclear medicine. Part II focuses on current contributions of machine learning to our field and addresses future expectations, limitations as well as providing a critical appraisal of what machine learning can and cannot do.

KEYWORDS:

Algorithms; Artificial intelligence; Image Processing; Machine learning; Nuclear Medicine; Other; PET

PMID:
30733322
DOI:
10.2967/jnumed.118.223495

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