4 citations · 4 across the 1 of their papers we have counts for
2 papers
eess.IV2020★ 4 cited
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation
Tiexin Qin, Ziyuan Wang, Kelei He +3
Conventional data augmentation realized by performing simple pre-processing operations (\eg, rotation, crop, \etc) has been validated for its advantage in enhancing the performance…
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…