Patent ID: 11901077
Assignee: HOFFMANN-LA ROCHE, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 0:
1. A method of identifying tissue patterns being indicative of a patient-related attribute value, the method comprising:
receiving, by an image analysis system, for each patient in a group of patients, at least one digital image of a tissue sample of the patient, the at least one image having assigned one out of at least two different predefined labels, each label indicating a patient-related attribute value of the patient whose tissue is depicted in the labeled image;
splitting, by the image analysis system, each received image into a set of image tiles, each tile having assigned the label assigned to the image used for creating the tile;
for each of the tiles, computing by the image analysis system, a feature vector comprising image features extracted selectively from a tissue pattern depicted in the said tile;
training a Multiple-Instance-Learning program on the tiles and respective feature vectors of the images received for all patients in the group, each set of tiles being treated by the MIL program as a bag of tiles having the same label, the training comprising analyzing the feature vectors for computing for each of the tiles a numerical value being indicative of the predictive power of the feature vector associated with the tile in respect to the label assigned to the image from which the tile was derived; and
outputting, via a GUI of the image analysis system, an image tile report gallery, the report gallery comprising a subset of the tiles, the subset of tiles being sorted in accordance with their respectively computed numerical value.