Unsupervised domain adaptation has provoked vast amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach have achieved sound performance for ...

Domain-adapted models trained on CLL plus lymphoma data outperformed CLL-only models and CLL-IPI, with best random forest Matthews correlation coefficient 0.342 versus 0.290 and 0.166. Severe ...