Image Segmentation, Computer Vision, Medical Imaging, Deep Learning, Machine Learning.
were predicted as true but not correct (grey) are called false positives (FP). The pixels in the correct mask that were not in the predicted mask (orange) are denoted as false negatives (FN). There are two very similar measures to quantify this. One is the intersection over union (or Jaccard) index