Patent ID: 11941813
Assignee: NANTCELL, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A non-transitory computer readable medium including computer-executable instructions that define the learning network of claim 1, where the computer-executable instructions are executable by a processor to:
train the learning network using randomly selected patches from multiple training data elements, where each randomly selected patch is smaller than its corresponding training data element, and each randomly selected patch is used to adjust the deep learning parameters within the multiple encoder down-sampling blocks and multiple decoder up-sampling blocks during training of the learning network; and
supply a multi-dimensional input tensor to the trained learning network by passing the multi-dimensional input tensor through the trained multiple encoder down-sampling blocks and the trained multiple decoder up-sampling blocks to generate an output tensor including at least two segmentation classifications.