Patent ID: 11954853
Assignee: GE PRECISION HEALTHCARE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. An image processing system comprising:
a convolutional neural network (CNN);
a training dataset of images, the training dataset including a plurality of training pairs, each training pair including an input image of a breast and a ground truth data of the breast;
a processor communicably coupled to a non-transitory memory storing the CNN and including instructions that when executed cause the processor to:
define a region of the breast of each input image of each training pair, where image data in the region includes breast information and where image data not in the region does not include the breast information;
during training of the CNN:
during propagation, at each layer of the CNN, apply a mask to perform convolutions on input data inside the pre-defined region and not perform convolutions on input image data outside the pre-defined region; and
during backpropagation, at each layer of the CNN, apply the mask when using a gradient descent algorithm such that weights are adjusted at nodes of the CNN based on loss backpropagation inside the pre-defined region and not outside the pre-defined region; and

deploy the CNN to generate an output, and display the output on a display device and/or store the output in a database of the image processing system.