Patent ID: 11886975
Assignee: THE JOHNS HOPKINS UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC G

Claim 13:
14. A system, comprising at least one controller that comprises, or is capable of accessing, computer readable media comprising non-transitory computer executable instructions which, when executed by at least one electronic processor, perform at least:
extracting a first plurality of image features from sets of longitudinal single photon emission computed tomography (SPECT) and/or positron emission tomography (PET) images obtained from a plurality of reference subjects having the pathology, wherein the image features extracted from at least first and second sets of the longitudinal SPECT and/or PET images are extracted separately from one another to produce a first feature vector;
extracting a second plurality of image features from the sets of the longitudinal SPECT and/or PET images when the longitudinal SPECT and/or PET images are in an unprocessed form to produce a second feature vector;
extracting a plurality of clinical features from clinical data obtained from the plurality of reference subjects having the pathology, which clinical features comprise pathology sub-scores to produce a third feature vector;
training one or more layers of an artificial neural network (ANN) using the first, second, and third feature vectors to generate a predictive model; and,
using the predictive model to predict a prospective pathology score of a test subject having the pathology.