Precision-medicine-toolbox: An open-source python']python package for the quantitative medical image analysis

被引:2
|
作者
Lavrova, Elizaveta [1 ,2 ]
Primakov, Sergey [1 ]
Salahuddin, Zohaib [1 ]
Beuque, Manon [1 ]
Verstappen, Damon [1 ]
Woodruff, Henry C. [1 ,3 ]
Lambin, Philippe [1 ,3 ]
机构
[1] Maastricht Univ, GROW Sch Oncol & Reprod, Dept Precis Med, D Lab, Maastricht, Netherlands
[2] Univ Liege, GIGA Cyclotron Res Ctr Vivo Imaging, Liege, Belgium
[3] Maastricht Univ, Dept Radiol & Nucl Med, Med Ctr, Maastricht, Netherlands
关键词
Medical imaging research; DICOM; Radiomics; Statistical analysis; Features; Image pre-processing;
D O I
10.1016/j.simpa.2023.100508
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Medical image analysis plays a key role in precision medicine. Data curation and pre-processing are critical steps in quantitative medical image analysis that can have a significant impact on the resulting performance of machine learning models. In this work, we introduce the Precision-medicine-toolbox, allowing clinical and junior researchers to perform data curation, image pre-processing, radiomics extraction, and feature exploration tasks with a customizable Python package. With this open-source tool, we aim to facilitate the crucial data preparation and exploration steps, bridge the gap between the currently existing packages, and improve the reproducibility of quantitative medical imaging research.
引用
收藏
页数:4
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