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

Claim 14:
15. A computer readable media comprising non-transitory computer executable instruction which, when executed by at least electronic processor perform at least:
extracting a first plurality of image features directly 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 images features extracted from at least first and second sets of the longitudinal SPECT and/or PET images are extracted separate from one another to produce a first feature vector;
extracting a second plurality of image features from maximum intensity projections (MIPs) of the sets of the longitudinal SPECT and/or PET images to produce a second feature vector;
extracting a third plurality of image features from semi-quantitative imaging measures of the sets of the longitudinal SPECT and/or PET images to produce a third feature vector;
extracting a plurality of non-imaging features from non-imaging data obtained from the plurality of reference subjects having the pathology to produce a fourth feature vector;
training multiple artificial neural networks (ANNs) using the first, second, third, and fourth feature vectors and a plurality of clinical features from clinical data obtained from the plurality of reference subjects having the pathology to produce an ensemble of ANNs; and,
using the ensemble of ANNs to predict a prospective pathology score of a test subject having the pathology.