Machine Learning in the Nuclear Medicine: Part 1-Introduction
Loading...
Date
2019-04
Authors
Uribe, Carlos F.
Mathotaarachchi, Sulantha
Gaudet, Vincent C.
Smith, Kenneth C.
Rosa-Neto, Pedro
Benard, Francois
Black, Sandra E.
Zukotynski, Katherine
Journal Title
Journal ISSN
Volume Title
Publisher
Society of Nuclear Medicine and Molecular Imaging
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.
Description
This research was originally published in JNM. Uribe, C.F., Mathotaarachchi, S., Gaudet, V., Smith, K.C, Rosa-Neto, P., Benard, F., Black, S.E. & Zukotynski, K. Machine Learning in Nuclear Medicine: Part 1 - Introduction. J Nucl Med. 2019;60:451-458. © SNMMI.
Keywords
machine learning, artificial intelligence, nuclear medicine, algorithms