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

Claim 15:
16. The method of claim 1, the training of the MIL program comprising:
Training an attention machine learning logic program—attention MLL program—on the feature vectors and the labels of all tiles of all received images to compute a weight for each of the tiles, the weight being indicative the predictive power of the feature vectors and respective tiles in respect to the patient-related attribute value represented by the label of the tile;
Computing, for each of the tiles, a combined predictive value, the combined predictive value being a function of the numerical value computed by the MIL for the tile and of the weight computed by the attention MLL for the tile, the combined numerical value being indicative of the predictive power of feature vectors and respective tiles in respect to the patient-related attribute value represented by the label of the tile;
Computing loss values being indicative of the difference of the combined predictive value obtained for a particular label and the actual labels assigned to the tiles; and
adapting a model of the MIL program using back propagation based on the computed loss values.