Patent ID: 11875898
Assignee: MERATIVE US L.P.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. The method of claim 1, wherein the method further comprises, after training the first deep learning network and after training the second deep learning network:
receiving a three-dimensional (3-D) medical image of a patient, the 3-D image including a plurality of two-dimensional (2-D) medical images of the patient;
iteratively applying the first deep learning network to each of the plurality of 2-D medical images of the patient to produce a plurality of feature maps associated with the patient, wherein each of the plurality of feature maps associated with the patient is associated with one of the plurality of 2-D medical images of the patient;
iteratively applying the second deep learning network to each of the plurality of feature maps associated with the patient to produce a plurality of classification outputs associated with the patient;
pooling the plurality of classification outputs associated with the patient to generate a condition probability of the patient, the condition probability of the patient including a probability of the patient having the condition; and
outputting the condition probability of the patient.