Patent ID: 11954593
Assignee: H-LABS GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 4:
5. A method to determine a degree of abnormality, the method comprising the following steps:
a) receiving a whole slide image (11, w, 722), the whole slide image (11, w, 722) depicting at least a portion of a cell, in particular a human cell;
b) classifying at least one image tile (13, 601, 721, 721′, 721″) of the whole slide image (11, w, 722) using a neural network (600) to determine a local abnormality degree value (15, a_j, 519, 719, 719′, 719″) associated with the at least one image tile (13, 601, 721, 721′, 721″), the local abnormality degree value (15, a_j, 519, 719, 719′, 719″) indicating a likelihood that the associated at least one image tile depicts at least a part of a cancerous cell; and
c) determining a degree of abnormality (17) for the whole slide image (11, w, 722) based on the local abnormality degree value (15, a_j, 519, 719, 719′, 719″) for the at least one image tile (13, 601, 721, 721′, 721″),
wherein the neural network (600) is trained with training data (26, 509) stored in a knowledgebase (25, 507), the training data (26, 509) including a plurality of tuples, each tuple indicating an image tile (13, 601, 721, 721′, 721″), a training abnormality degree value (15, 519, 719, 719′, 719″, a_j) and a likelihood value (l_j), and
wherein the training abnormality degree value (a_w) for at least a subset of the image tiles (C) determined by a human expert (E) is stored in a block (710, 710′, 710″) of a blockchain (700).