1. A method for calculating a clinical measurement of a target anatomical object of a patient, comprising: generating a surface model of a target anatomical object from medical imaging data of a patient; determining a probability that each of a plurality of points along a surface normal for each of a plurality of vertices of the surface model accurately identifies an image boundary; estimating uncertainty at each respective vertex of the plurality of vertices of the surface model based on the probabilities determined for the plurality of points along the surface normal for the respective vertex; visualizing the uncertainty estimated at each of the plurality of vertices on the surface model; and calculating a clinical measurement of the target anatomical object based on the surface model and the uncertainty.