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

Claim 12:
13. The method of claim 12, further comprising:
receiving a plurality of digital training images each depicting a tissue sample;
splitting each of the received training images into a plurality of tiles;
automatically generating tile pairs, each tile pair having assigned a label being indicative of the degree of similarity of two tissue patterns depicted in the two tiles of the pair, wherein the degree of similarity is computed as a function of the spatial proximity of the two tiles in the pair, wherein the distance positively correlates with dissimilarity;
training a machine learning logic—MLL—using the labeled tile pairs as training data to generate a trained MLL, the trained MLL having learned to extract a feature vector from a digital tissue image that represent the image in a way that images that are similar have similar feature vectors and images that are dissimilar have dissimilar feature vectors; and
using the said trained MLL or a component thereof for computing the feature vectors of the tiles.