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

Claim 12:
13. The distributed cancer analysis system (500) according to claim 12,
characterized by,
a testing entity (518) adapted to:
receive validation training data (506) of a validation database (515), the validation training data (506) comprising at least one validation set (505, 505′, 505″), the validation database (515) in particular including at least a subset of the knowledge base, determined by the at least one expert (E, E′, E″);
train the neural network using the received validation data (506);
use the neural network trained on the validation data to predict the data in an independent validation cohort to compute a first accuracy value;
use the neural network trained on the knowledgebase to predict the data in an independent validation cohort to compute a second accuracy value; and
compare the first and the second accuracy values to determine whether updating the knowledgebase (25, 507) with the subset of the image tiles (C) and associated training abnormality degree values (a_w) improves the accuracy of the neural network when trained with the updated knowledgebase (25, 507).