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

Claim 19:
20. Non-transitory computer-readable medium including instructions that, when executed by an electronic processor, perform a set of functions, the set of functions comprising:
receiving 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 applying 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 applying 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;
training 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
training 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.