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.

Abstract: A digital photography system includes a digital camera and a digital printer. The digital camera includes an image display and the digital printer includes user interface controls to control the images displayed on the camera and to select images to be printed.