Index B | C | E | I | L | M | P | R | S | T | W B Batch C Cost Function/Loss Function E Epochs Excluding mask I Image dimension Inference or Prediction L Learning rate Loss value M Merging mask Model size Model weight P Patch size Probability map image R Raw image S Seg 1 Seg 2 (optional) Segmentation model T Threshold_otsu Thresholded binary image Thresholding value W Weights/ Bias