Abstract: A method for evaluating the depth of a burn wound in a subject comprises (a) receiving an imaging video of the burn wound collected by an ultrasound transducer, (b) evaluating nodes and edges connecting the nodes in a plurality of layers of the burn wound in a plurality of frames of the imaging video, with a classifier system, the classifier system comprising a convolutional neural network that compares the nodes and edges of the burn wound with nodes and edges in a plurality of layers of a plurality of historical burn wounds of known depth, and (c) assigning a depth to the burn wound, the assigned depth being an average of depths associated with a plurality of the historical burn wounds having a predetermined minimum similarity of nodes and edges to the nodes and edges of the burn wound.

Abstract: A method for evaluating the depth of a burn wound in a subject comprises (a) receiving an imaging video of the burn wound collected by an ultrasound transducer, (b) evaluating nodes and edges connecting the nodes in a plurality of layers of the burn wound in a plurality of frames of the imaging video, with a classifier system, the classifier system comprising a convolutional neural network that compares the nodes and edges of the burn wound with nodes and edges in a plurality of layers of a plurality of historical burn wounds of known depth, and (c) assigning a depth to the burn wound, the assigned depth being an average of depths associated with a plurality of the historical burn wounds having a predetermined minimum similarity of nodes and edges to the nodes and edges of the burn wound.