"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient

CONCLUSIONS: We show a novel approach to deep learning in using data from just one patient to train deep neural networks to monitor tumor change. Using two different datasets to evaluate the results shows the potential to generalize the …