Systems and methods for uncertainty aware caliper placement

A system for characterizing uncertainty on a boundary of a region of interest, comprising:

• a memory encoding processor-executable routines;
• and
• a processor configured to access the memory and to execute the processor-executable routines, wherein the processor-executable routines, when executed by the processor, cause the processor to:
• input an ultrasound image having the region of interest into a trained neural network, wherein the ultrasound image comprises a pair of calipers marked on the region of interest;
• output from the trained neural network a first prediction of the boundary of the region of interest and a second prediction of a region segmentation of the region of interest;
• determine an uncertainty on the boundary based on mismatch between the first prediction and the second prediction;
• and
• providing an alert to a user when at least a portion of the pair of calipers is placed in a region of uncertainty on the boundary.

A non-transitory computer-readable medium, the computer-readable medium comprising processor-executable code that when executed by a processor, causes the processor to:

• input a medical image having a region of interest into a trained neural network, wherein the ultrasound image comprises a pair of calipers marked on the region of interest;
• output from the trained neural network a first prediction of a boundary of the region of interest and a second prediction of a region segmentation of the region of interest;
• determine an uncertainty on the boundary based on mismatch between the first prediction and the second prediction;
• and
• alter placement of the pairs of calipers on the region of interest in the ultrasound image when at least a portion of the pair of calipers is placed in a region of uncertainty on the boundary.