Regional body composition from two-dimensional color body images

A computing system, comprising:

• one or more processors;
• a memory storing program instructions that, when executed by the one or more processors, cause the one or more processors to at least:
• receive at least one two-dimensional (“2D”) color body image of a body, wherein:
• each of the at least one 2D color body image is generated by a 2D imaging element;
• and
• each of the at least one 2D color body image includes a representation of the body from a different view;
• and
• process, using a neural network, each of the at least one 2D color body image to, at least:
• determine a plurality of dimension based regional body composition values for a region of the body:
• determine a plurality of image based regional body composition values for the region;
• and
• combine the plurality of dimension based regional body composition values and the plurality of image based regional body composition values to determine a plurality of regional body composition values for the region.

A method, comprising:

• determining at least one region of a body represented in a two-dimensional (“2D”) color body image, wherein the at least one region is less than all of the body;
• processing the 2D color body image to determine a plurality of dimension based regional body composition values for the region;
• processing the 2D color body image to determine a plurality of image based regional body composition values for the region;
• and
• combining the plurality of dimension based regional body composition values and the plurality of image based regional body composition values to determine a plurality of regional body composition values corresponding to the at least one region;
• and
• sending for presentation the plurality of regional body composition values corresponding to the at least one region.