Image Segmentation, Computer Vision, Medical Imaging, Deep Learning, Machine Learning.
Figure 3. Understanding how to evaluate errors in predicted masks for segmentation. We want that the intersection (yellow) between the predicted (dark grey) mask and the correct mask (orange) is as large as possible. The pixels in the intersection are denoted as true positives (TP). The pixels that