Patent ID: 11935233
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
obtaining a plurality of output value sets from a plurality of first neural networks derived from a cascaded neural network based on a training data set comprising a plurality of samples, each output value set comprising a plurality of output values corresponding to one of the plurality of samples, each output value being output from a corresponding first neural network and comprising a probability that a disease is present in a 2D image of a plurality of 2D images input into the corresponding first neural network, wherein each sample is associated with an expected result, and wherein each sample comprises a three-dimensional (3D) image volume of a suspected disease;
obtaining, from a second neural network, a plurality of results corresponding to the plurality of samples in response to an inputting of the plurality of output value sets, each result comprising a probability that the disease is present in a 3D image volume comprised in the corresponding sample, wherein the probability that the disease is present in the 3D image volume supersedes the probability that the disease is present in the 2D image; and
updating at least one parameter of the second neural network to output an expected result corresponding to each sample in response to the inputting of the corresponding output value set.