Figure 1.

Overview of left ventricular (LV) mass algorithms. Depicted is an overview of the 3 approaches to cardiac magnetic resonance–derived LV mass estimation compared in the current study. The top model utilizes deep learning–based regression trained by manually labeled LV mass. The middle model performs deep learning–based segmentation informed by InlineVF contours. The bottom model utilizes the InlineVF automated contours alone. For the deep learning segmentation and InlineVF models, LV segmentations were converted to LV mass by summing pixel volume and multiplying by the density of LV myocardium (1.05 g/mL, see text).