most citedAutomatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation

4 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2019

Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms

Marco Virgolin, Ziyuan Wang, Tanja Alderliesten +1

Machine Learning (ML) is proving extremely beneficial in many healthcare applications. In pediatric oncology, retrospective studies that investigate the relationship between treatm…