In radiomics, feature selection methods are primarily used to eliminate redundant features and identify relevant ones. Feature projection methods, such as principal component analysis (PCA), are often ...

This study evaluates a feature subset by assessing its classification performance using multiple representative classifiers employing a repeated stratified 10-fold cross-validation approach. The ...

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...