Methods and systems for identifying and profiling biological tissue

A system comprising:

• one or more processors;
• a memory;
• and
• one or more components stored in the memory and executable by the one or more processors to perform operations comprising:
• receiving, as a received image, an image of a subject captured by a first imaging apparatus at a first time, the image indicative of a first morphology of the subject, the subject having an identity;
• accessing a registered image in a library of registered images stored in a database coupled to a network, wherein the registered image in the library of registered images is captured by a second imaging apparatus at a second time, is associated with a known subject, and is indicative of a second morphology of the known subject;
• identifying, from the registered image, a morphological anomaly indicated by the second morphology;
• generating, based, at least in part on an elapsed time between the first time and the second time, an expected change in the first morphology indicated by the received image, wherein generating the expected change is performed by a neural network having an input, an output, and a set of weights, the input of the neural network receiving at least one of the registered images at a third time or an additional image at a fourth time, the output of the neural network indicative of the expected change;
• comparing the first morphology with the second morphology to generate a comparison based at least in part on comparing the expected change in the first morphology with the second morphology;
• determining, based at least in part on the comparison, whether the morphological anomaly is indicated by the first morphology;
• and
• determining, based at least in part on the comparison, the identity of the subject of the received image.

A non-transitory computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by one or more processors, cause the processors to:

• receive, as a received image, an image of a subject captured by a first imaging apparatus at a first time, the image indicative of a first morphology of the subject, the subject having an identity;
• access a registered image in a library of registered images stored in a database coupled to a network, wherein each of the registered images in the library are captured by a second imaging apparatus at a second time, are associated with a known subject, and are indicative of a second morphology of the known subject;
• generating, based, at least in part on an elapsed time between the first time and the second time, an expected change in the first morphology indicated by the received image, wherein generating the expected change is performed by a neural network having an input, an output, and a set of weights, the input of the neural network receiving at least one of the registered images at a third time or an additional image at a fourth time, the output of the neural network indicative of the expected change;
• compare the first morphology with the second morphology to generate a comparison based at least in part on comparing the expected change in the first morphology with the second morphology;
• and
• determine, based at least in part on the comparison, the identity of the subject of the received image.