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

Claim 17:
18. The method of claim 1, further comprising:
receiving, by the image analysis system, for each patient in a further group of patients, at least one further digital image of a tissue sample of the patient, each further image having assigned one of the predefined labels;
splitting, by the image analysis system, each received further image into a set of further image tiles, each tile having assigned the label assigned to the image used for creating the further tile;
for each of the further tiles, computing, by the image analysis system, a further feature vector comprising image features extracted selectively from the said further tile and from a tissue pattern depicted therein;
applying the trained Multiple-Instance-Learning (MIL) program on the further tiles and respective further feature vectors of all further images received for all patients in the further group for computing for each of the further tiles a numerical value being indicative of the probability that the image from which the further tile was derived has assigned a particular label, the numerical value being computed as a learned non-linear transformation function of the feature vector of said further tile; and
outputting, via the GUI of the image analysis system, a further image tile report gallery, the further report gallery comprising a plurality of the further tiles, the tiles being sorted in accordance with their respectively computed numerical value and/or comprising a graphical representation of their respective numerical value.