The invention relates to image normalization increasing robustness of machine learning applications for medical images. A method for normalizing medical images using a machine learning unit comprises the steps of receiving a set of image data with images at a decomposition unit, wherein the image data have been generated by being converted from detector signals, acquired at a detector of an image acquisition device, and the detector signals are converted by means of applying different settings of the image acquisition device-specific processing algorithms; at a decomposition unit: decomposing each of the images of the set of images into components by incorporating at least information from the different settings of the image acquisition device-specific image processing algorithms; at a normalizing unit: normalizing each of said components by means of a machine learning unit by processing at least information from the different settings of the image acquisition device-specific processing algorithms to provide a set of normalized images with a decreased variability score.
IMAGE NORMALIZATION INCREASING ROBUSTNESS OF MACHINE LEARNING APPLICATIONS FOR MEDICAL IMAGES