When a slide of cells is prepared, the staining process often leaves directional streaks or inconsistent color gradients. If a Convolutional Neural Network (CNN) is trained on these images, it might mistakenly learn that "streaks from left to right" represent a specific disease, simply because the lab technician stained those samples in a specific way.
In the realm of Computer Vision and Machine Learning, a is a technique used to remove directional bias from images. It is most famously used in cytology (cell analysis) and pathology to "normalize" images before feeding them into a neural network. stained glass transformations
