US 12,582,345 B2 · Systems and methods for identifying progression of hypoxic-ischemic brain injury

Abstract

A method for identifying the presence or progression of hypoxic ischemic brain injury includes, for each subset of one or more subsets of a three-dimensional medical image of a head of a patient: (i) inputting said each subset into a machine-learning model, (ii) extracting one or more features or feature maps from the machine-learning model, and (iii) constructing, based on the one or more features or feature maps, one of a sequence of vectors. The sequence of vectors is then pooled to obtain a scan-level vector that is used to obtain a score indicating HIBI presence or progression in the patient. For example, the scan-level vector can be inputted into a pre-trained classifier that generates the score based on the scan-level vector. The machine-learning model may be a pre-trained conventional neural network or support vector machine.

Claims20

Dependent claims

A method for identifying the presence or progression of hypoxic ischemic brain injury (HIBI), comprising:

for each subset of one or more subsets of a three-dimensional medical image of a head of a patient:
inputting said each subset into a machine-learning model;
extracting one or more feature maps from the machine-learning model;
and
constructing, based on the one or more feature maps, a respective one of a sequence of subset-level feature vectors;
pooling the sequence of subset-level feature vectors to obtain a scan-level feature vector;
and
using the scan-level feature vector to obtain a score indicating HIBI presence or progression.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for identifying progression of hypoxic-ischemic brain injury

Life of this patent

Systems and methods for identifying progression of hypoxic-ischemic brain injury

Life of this patent

Abstract

Claims20