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

Claim 18:
19. A system for training a computer-aided condition detection program, the system comprising:
a computing device including an electronic processor configured to:
receive a plurality of medical images for a plurality of patients, a portion of the plurality of medical images including an annotation associated with a condition;
iteratively apply a first deep learning network to each of the plurality of medical images to produce an attention map, a feature map, and an image-level probability of the condition for each of the plurality of medical images;
iteratively apply a second deep learning network to the feature map produced by the first deep learning network for each of the plurality of medical images to produce a plurality of patient outputs;
train the first deep learning network based on the attention map produced by the first deep learning network for each image included in the portion of the plurality of medical images; and
train the second deep learning network based on the patient output produced by the second deep learning network for each of the plurality of patients,
wherein the second deep learning network includes a plurality of convolution layers and a plurality of convolutional long short-term memory (LSTM) layers, and
wherein each of the plurality of patient outputs includes a patient-level probability of the condition for one of the plurality of patients.