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

Claim 0:
1. A method for an image processing system, comprising:
generating an output of a trained convolutional neural network (CNN) of the image processing system based on an input image, including a pre-defined region of the input image as an additional input into at least one of a convolutional layer and a fully connected layer of the CNN to limit computations to input image data inside the pre-defined region; and
storing the output and/or displaying the output on a display device;
wherein including the pre-defined region of the input image as an additional input into the at least one of a convolutional layer and a fully connected layer of the CNN further includes:
associating a mask with at least one convolutional layer of the CNN;
mapping the mask to an input of the at least one convolutional layer;
performing convolutions on input data inside the pre-defined region, and
not performing convolutions on input image data outside the pre-defined region.