Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada.
Translational Neuroimaging Lab, McGill University, Montreal, Quebec, Canada.
J Nucl Med. 2019 Apr;60(4):451-458. doi: 10.2967/jnumed.118.223495. Epub 2019 Feb 7.
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.
这是一篇分为两部分的系列文章中的第一篇，旨在向核医学领域介绍机器学习 (ML)。这一部分介绍了 ML 的历史，描述了常见的算法，并举例说明了它们在核医学中何时会有所帮助。第二部分重点介绍了 ML 目前对我们领域的贡献，探讨了未来的期望和局限性，并对 ML 的能力和局限性进行了批判性评估。
