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

Claim 16:
17. 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 weighted feature vector as a function of the weight computed by the attention MLL for the tile and of the feature vector extracted from the tile;
Inputting the weighted feature vectors into the MIL for enabling the MIL to compute the numerical value for each of the tiles using the weighted feature vectors as the feature vectors;
Computing loss values being indicative of the difference of the numerical values 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.