Predicting Ion Chamber Disagreements for Patient-Specific Quality Assurance of VMAT Plans Using Machine Learning Phillip Wall, MS University of California, San Francisco
Graph includes 10 member loads and 300 non-member loads (310 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.