论文标题
Precision-Medicine-Toolbox：用于促进定量医学成像和放射线分析的开源Python软件包
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
论文作者
论文摘要
医学图像分析在精确医学中起着关键作用，因为它允许临床医生识别解剖异常，并且通常用于临床评估中。数据策展和医学图像的预处理是定量医学图像分析的关键步骤，可以对所得模型性能产生重大影响。在本文中，我们引入了一个精密的中医学盒，该盒子使研究人员可以执行数据策展，图像预处理和手工制作的放射组学提取（通过pyradiomics），并使用Python进行探索任务。借助此开源解决方案，我们旨在解决数据准备和勘探问题，弥合当前现有包装之间的差距，并提高定量医学成像研究的可重复性。
Medical image analysis plays a key role in precision medicine as it allows the clinicians to identify anatomical abnormalities and it is routinely used in clinical assessment. Data curation and pre-processing of medical images are critical steps in the quantitative medical image analysis that can have a significant impact on the resulting model performance. In this paper, we introduce a precision-medicine-toolbox that allows researchers to perform data curation, image pre-processing and handcrafted radiomics extraction (via Pyradiomics) and feature exploration tasks with Python. With this open-source solution, we aim to address the data preparation and exploration problem, bridge the gap between the currently existing packages, and improve the reproducibility of quantitative medical imaging research.
