Automated patellar height assessment on high-resolution radiographs with a novel deep learning-based approach

Figure 2 Flow diagram of the methodology of data collection and training of the U-Net for bone segmentation. A: Radiograms from database; B: Labeled radiograms for training and validation; C: Split of radiograms into training and validation subsets; D: Conditional block for stop the training; E: Extended training set; F: Trained U-Net model.