Patent ID: 11893811
Assignee: CARNEGIE MELLON UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method comprising:
obtaining one or more whole slide images of a post-birth placenta;
separating the whole slide image into a plurality of image patches;
analyzing each image patch at a lower resolution than the native resolution of the whole slide image using a trained machine learning model, to identify one or more blood vessels in the image patch;
classifying each identified blood vessel in the image patch at a higher resolution, using a trained machine learning classifier;
aggregating latent vectors produced by the machine learning classifier for a predetermined number of classified blood vessels;
pooling the aggregated latent vectors by calculating a maximum or minimum for each node of a feature map of the machine learning classifier; and
performing principal component analysis on the pooled aggregated latent vectors to produce a reduced dimension latent vector.