Patent ID: 11948297
Assignee: MEDCOGNETICS, INC.
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 11:
12. A system comprising:
a convolutional neural network comprising a plurality of layers arranged in a hierarchy, wherein an input of the convolutional neural network is at a bottom of the hierarchy of layers and an output is at a top of the hierarchy of layers;
a first plurality of layers of the convolutional neural network which is trained by federated learning using a first set of training data comprising first breast images comprising multiple ethnicities;
a second layer, trained by active learning using a second set of training data comprising second breast images from only a different single ethnicity, a first ethnicity;
a third layer, trained by active learning using a third set of training data comprising third images from only a single ethnicity, a second ethnicity that is different from the first ethnicity; and
a fourth layer, trained by active learning using a fourth set of training data comprising fourth images from only a single ethnicity, a third ethnicity that is different from the first and second ethnicities,
wherein the second, third, and fourth layers are at the same level in the hierarchy of the convolutional neural network, and the second, third, and fourth layers are above the first layers of the convolutional neural network.