Machine Learning, Tutorial, Editors Pick, Image Segmentation, Medical Imaging.
contain large regions of interest corresponding to pathology. The remaining labelled images are mostly Y=0. Therefore, if a model is trained with all images, there will be a tendency to predict most images as Y=0, which means the pathology will mostly get missed. To avoid this issue, and to