论文标题
用于医学成像的机器学习的可重复性
Reproducibility in machine learning for medical imaging
论文作者
论文摘要
可重复性是科学的基石，因为发现的复制是它们成为知识的过程。人们普遍认为，许多科学领域正在经历可重复性的危机。这导致了各种准则的出版物，以提高研究可重复性。 本教学章节旨在作为用于医学成像的机器学习领域的研究人员的可重复性介绍。我们首先区分不同类型的可重复性。对于每个人，我们旨在定义它，描述实现它的要求并讨论其效用。本章以讨论可重复性的好处的讨论以及对这种概念的非态度方法及其在研究实践中的实施的认罪。
Reproducibility is a cornerstone of science, as the replication of findings is the process through which they become knowledge. It is widely considered that many fields of science are undergoing a reproducibility crisis. This has led to the publications of various guidelines in order to improve research reproducibility. This didactic chapter intends at being an introduction to reproducibility for researchers in the field of machine learning for medical imaging. We first distinguish between different types of reproducibility. For each of them, we aim at defining it, at describing the requirements to achieve it and at discussing its utility. The chapter ends with a discussion on the benefits of reproducibility and with a plea for a non-dogmatic approach to this concept and its implementation in research practice.
