BIAS: Transparent reporting of biomedical image analysis challenges
BIAS: Transparent reporting of biomedical image analysis challenges
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DOI：
10.1016/j.media.2020.101796
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发表时间：
2020-12-01
影响因子：
10.9
通讯作者：
Landman, Bennett A.
中科院分区：
文献类型：
--
作者：
Maier-Hein, Lena;Reinke, Annika;Landman, Bennett A.
每年组织的生物医学图像分析挑战赛的数量正在稳步增加。这些国际比赛的目的是对通用数据集上的算法进行基准测试，通常是为了确定给定问题的最佳方法。然而，最近的研究表明，与挑战报告有关的常见做法不允许对结果进行适当的解释和重现。为了解决挑战的影响和质量(控制)之间的差异，生物医学图像分析挑战(BIAS)倡议制定了一套报告挑战的建议。BIAS声明旨在提高生物医学图像分析挑战报告的透明度，而不考虑应用领域、图像形态或评估的任务类别。这篇文章描述了偏见陈述是如何发展的，并提供了一个检查表，鼓励生物医学图像分析挑战的作者在提交关于挑战的论文进行审查时包括在他们的提交中。清单的目的是使审查过程标准化和便利，并通过明确相关信息提高质疑结果的可解释性和可重复性。(C)2020作者。爱思唯尔出版公司(Elsevier B.V.)
The number of biomedical image analysis challenges organized per year is steadily increasing. These international competitions have the purpose of benchmarking algorithms on common data sets, typically to identify the best method for a given problem. Recent research, however, revealed that common practice related to challenge reporting does not allow for adequate interpretation and reproducibility of results. To address the discrepancy between the impact of challenges and the quality (control), the Biomedical Image Analysis ChallengeS (BIAS) initiative developed a set of recommendations for the reporting of challenges. The BIAS statement aims to improve the transparency of the reporting of a biomedical image analysis challenge regardless of field of application, image modality or task category assessed. This article describes how the BIAS statement was developed and presents a checklist which authors of biomedical image analysis challenges are encouraged to include in their submission when giving a paper on a challenge into review. The purpose of the checklist is to standardize and facilitate the review process and raise interpretability and reproducibility of challenge results by making relevant information explicit. (C) 2020 The Authors. Published by Elsevier B.V.