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

被引:1
|
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.
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页数:4
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