![](https://www.myesr.org/app/uploads/2023/10/ai-blog-fig-57.jpg)
The effect of preprocessing filters on predictive performance in radiomics
In radiomics, the main goal is to extract quantitative features from medical data to train a predictive model using machine learning techniques. Contrary to statistics, radiomics is data-driven; thus, there is a certain tendency to use as many features as possible. To achieve this, preprocessing filters are often applied; for example, a Gaussian filter smooths the image and thus removes