Patent ID: 11922682
Assignee: MERATIVE US L.P.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A system comprising:
a data store comprising a plurality of medical images;
a trained anatomy segmentation network, wherein the trained anatomy segmentation network comprises a contracting path and an expanding path following the contracting path, the contracting path decreasing the image size while increasing a number of channels, and the expanding path upsampling the image size;
a classification network;
a computing node comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of the computing node to cause the processor to perform a method comprising:
reading a medical image of a patient;
providing the medical image to a trained anatomy segmentation network, wherein the trained anatomy segmentation network comprises a contracting path, the contracting path comprising a repeated application of one or more convolutions and a pooling layer, and an expanding path following the contracting path, the contracting path decreasing an image size while doubling a number of channels, and the expanding path upsampling the image size by repetition;
receiving from the trained anatomy segmentation network a feature map, the feature map indicating a location of at least one feature within the medical image;
training a classification network using a set of feature maps, the set of feature maps including both normal and abnormal samples, and each of the set of feature maps being an output of the trained anatomy segmentation network;
concatenating the medical image and its feature map, thereby forming a combined input;
providing the combined input to the trained classification network; and
receiving from the trained classification network a disease detection, the disease detection indicating a presence or absence of a predetermined disease.