111 citations · 169 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
eess.IV2020★ 25 cited
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay +2
Purpose: The research is to develop a novel CNN-based adversarial deep learning method to improve and expedite the multi-organ semantic segmentation of CT images, and to generate a…
cs.CV2020★ 2 cited
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images
Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay +2
Automated segmentation can assist radiotherapy treatment planning by saving manual contouring efforts and reducing intra-observer and inter-observer variations. The recent developm…